Overview

Brought to you by YData

Dataset statistics

Number of variables122
Number of observations50000
Missing cells1486079
Missing cells (%)24.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory81.5 MiB
Average record size in memory1.7 KiB

Variable types

Numeric70
Categorical48
Boolean3
Text1

Alerts

FLAG_MOBIL has constant value "1"Constant
AMT_ANNUITY is highly overall correlated with AMT_CREDIT and 1 other fieldsHigh correlation
AMT_CREDIT is highly overall correlated with AMT_ANNUITY and 1 other fieldsHigh correlation
AMT_GOODS_PRICE is highly overall correlated with AMT_ANNUITY and 1 other fieldsHigh correlation
AMT_INCOME_TOTAL is highly overall correlated with FONDKAPREMONT_MODEHigh correlation
AMT_REQ_CREDIT_BUREAU_DAY is highly overall correlated with FLAG_DOCUMENT_2High correlation
AMT_REQ_CREDIT_BUREAU_HOUR is highly overall correlated with FLAG_DOCUMENT_2High correlation
AMT_REQ_CREDIT_BUREAU_MON is highly overall correlated with FLAG_DOCUMENT_2High correlation
AMT_REQ_CREDIT_BUREAU_QRT is highly overall correlated with FLAG_DOCUMENT_2High correlation
AMT_REQ_CREDIT_BUREAU_WEEK is highly overall correlated with FLAG_DOCUMENT_2High correlation
AMT_REQ_CREDIT_BUREAU_YEAR is highly overall correlated with FLAG_DOCUMENT_2High correlation
APARTMENTS_AVG is highly overall correlated with APARTMENTS_MEDI and 23 other fieldsHigh correlation
APARTMENTS_MEDI is highly overall correlated with APARTMENTS_AVG and 23 other fieldsHigh correlation
APARTMENTS_MODE is highly overall correlated with APARTMENTS_AVG and 23 other fieldsHigh correlation
BASEMENTAREA_AVG is highly overall correlated with APARTMENTS_AVG and 14 other fieldsHigh correlation
BASEMENTAREA_MEDI is highly overall correlated with APARTMENTS_AVG and 14 other fieldsHigh correlation
BASEMENTAREA_MODE is highly overall correlated with APARTMENTS_AVG and 14 other fieldsHigh correlation
CNT_CHILDREN is highly overall correlated with CNT_FAM_MEMBERSHigh correlation
CNT_FAM_MEMBERS is highly overall correlated with CNT_CHILDRENHigh correlation
CODE_GENDER is highly overall correlated with OCCUPATION_TYPEHigh correlation
COMMONAREA_AVG is highly overall correlated with APARTMENTS_AVG and 11 other fieldsHigh correlation
COMMONAREA_MEDI is highly overall correlated with APARTMENTS_AVG and 11 other fieldsHigh correlation
COMMONAREA_MODE is highly overall correlated with APARTMENTS_AVG and 11 other fieldsHigh correlation
DAYS_BIRTH is highly overall correlated with EXT_SOURCE_1 and 1 other fieldsHigh correlation
DAYS_EMPLOYED is highly overall correlated with FLAG_DOCUMENT_6 and 3 other fieldsHigh correlation
DEF_30_CNT_SOCIAL_CIRCLE is highly overall correlated with DEF_60_CNT_SOCIAL_CIRCLEHigh correlation
DEF_60_CNT_SOCIAL_CIRCLE is highly overall correlated with DEF_30_CNT_SOCIAL_CIRCLEHigh correlation
ELEVATORS_AVG is highly overall correlated with APARTMENTS_AVG and 17 other fieldsHigh correlation
ELEVATORS_MEDI is highly overall correlated with APARTMENTS_AVG and 17 other fieldsHigh correlation
ELEVATORS_MODE is highly overall correlated with APARTMENTS_AVG and 17 other fieldsHigh correlation
ENTRANCES_AVG is highly overall correlated with APARTMENTS_AVG and 14 other fieldsHigh correlation
ENTRANCES_MEDI is highly overall correlated with APARTMENTS_AVG and 14 other fieldsHigh correlation
ENTRANCES_MODE is highly overall correlated with APARTMENTS_AVG and 12 other fieldsHigh correlation
EXT_SOURCE_1 is highly overall correlated with DAYS_BIRTHHigh correlation
EXT_SOURCE_3 is highly overall correlated with FLAG_DOCUMENT_2High correlation
FLAG_DOCUMENT_2 is highly overall correlated with AMT_REQ_CREDIT_BUREAU_DAY and 6 other fieldsHigh correlation
FLAG_DOCUMENT_6 is highly overall correlated with DAYS_EMPLOYED and 2 other fieldsHigh correlation
FLAG_EMP_PHONE is highly overall correlated with DAYS_BIRTH and 3 other fieldsHigh correlation
FLAG_OWN_CAR is highly overall correlated with OWN_CAR_AGEHigh correlation
FLOORSMAX_AVG is highly overall correlated with APARTMENTS_AVG and 23 other fieldsHigh correlation
FLOORSMAX_MEDI is highly overall correlated with APARTMENTS_AVG and 23 other fieldsHigh correlation
FLOORSMAX_MODE is highly overall correlated with APARTMENTS_AVG and 23 other fieldsHigh correlation
FLOORSMIN_AVG is highly overall correlated with ELEVATORS_AVG and 9 other fieldsHigh correlation
FLOORSMIN_MEDI is highly overall correlated with ELEVATORS_AVG and 9 other fieldsHigh correlation
FLOORSMIN_MODE is highly overall correlated with ELEVATORS_AVG and 7 other fieldsHigh correlation
FONDKAPREMONT_MODE is highly overall correlated with AMT_INCOME_TOTALHigh correlation
LANDAREA_AVG is highly overall correlated with LANDAREA_MEDI and 1 other fieldsHigh correlation
LANDAREA_MEDI is highly overall correlated with LANDAREA_AVG and 1 other fieldsHigh correlation
LANDAREA_MODE is highly overall correlated with LANDAREA_AVG and 1 other fieldsHigh correlation
LIVE_CITY_NOT_WORK_CITY is highly overall correlated with REG_CITY_NOT_WORK_CITYHigh correlation
LIVE_REGION_NOT_WORK_REGION is highly overall correlated with REG_REGION_NOT_WORK_REGIONHigh correlation
LIVINGAPARTMENTS_AVG is highly overall correlated with APARTMENTS_AVG and 22 other fieldsHigh correlation
LIVINGAPARTMENTS_MEDI is highly overall correlated with APARTMENTS_AVG and 22 other fieldsHigh correlation
LIVINGAPARTMENTS_MODE is highly overall correlated with APARTMENTS_AVG and 23 other fieldsHigh correlation
LIVINGAREA_AVG is highly overall correlated with APARTMENTS_AVG and 25 other fieldsHigh correlation
LIVINGAREA_MEDI is highly overall correlated with APARTMENTS_AVG and 25 other fieldsHigh correlation
LIVINGAREA_MODE is highly overall correlated with APARTMENTS_AVG and 23 other fieldsHigh correlation
NAME_INCOME_TYPE is highly overall correlated with DAYS_EMPLOYED and 2 other fieldsHigh correlation
NONLIVINGAPARTMENTS_AVG is highly overall correlated with NONLIVINGAPARTMENTS_MEDI and 4 other fieldsHigh correlation
NONLIVINGAPARTMENTS_MEDI is highly overall correlated with NONLIVINGAPARTMENTS_AVG and 4 other fieldsHigh correlation
NONLIVINGAPARTMENTS_MODE is highly overall correlated with NONLIVINGAPARTMENTS_AVG and 4 other fieldsHigh correlation
NONLIVINGAREA_AVG is highly overall correlated with NONLIVINGAPARTMENTS_AVG and 4 other fieldsHigh correlation
NONLIVINGAREA_MEDI is highly overall correlated with NONLIVINGAPARTMENTS_AVG and 4 other fieldsHigh correlation
NONLIVINGAREA_MODE is highly overall correlated with NONLIVINGAPARTMENTS_AVG and 4 other fieldsHigh correlation
OBS_30_CNT_SOCIAL_CIRCLE is highly overall correlated with OBS_60_CNT_SOCIAL_CIRCLEHigh correlation
OBS_60_CNT_SOCIAL_CIRCLE is highly overall correlated with OBS_30_CNT_SOCIAL_CIRCLEHigh correlation
OCCUPATION_TYPE is highly overall correlated with CODE_GENDER and 1 other fieldsHigh correlation
OWN_CAR_AGE is highly overall correlated with FLAG_OWN_CARHigh correlation
REGION_POPULATION_RELATIVE is highly overall correlated with REGION_RATING_CLIENT and 1 other fieldsHigh correlation
REGION_RATING_CLIENT is highly overall correlated with REGION_POPULATION_RELATIVE and 1 other fieldsHigh correlation
REGION_RATING_CLIENT_W_CITY is highly overall correlated with REGION_POPULATION_RELATIVE and 1 other fieldsHigh correlation
REG_CITY_NOT_WORK_CITY is highly overall correlated with LIVE_CITY_NOT_WORK_CITYHigh correlation
REG_REGION_NOT_WORK_REGION is highly overall correlated with LIVE_REGION_NOT_WORK_REGIONHigh correlation
TOTALAREA_MODE is highly overall correlated with APARTMENTS_AVG and 23 other fieldsHigh correlation
YEARS_BEGINEXPLUATATION_AVG is highly overall correlated with FLOORSMAX_AVG and 7 other fieldsHigh correlation
YEARS_BEGINEXPLUATATION_MEDI is highly overall correlated with FLOORSMAX_AVG and 7 other fieldsHigh correlation
YEARS_BEGINEXPLUATATION_MODE is highly overall correlated with FLOORSMAX_AVG and 7 other fieldsHigh correlation
YEARS_BUILD_AVG is highly overall correlated with FLOORSMAX_AVG and 7 other fieldsHigh correlation
YEARS_BUILD_MEDI is highly overall correlated with FLOORSMAX_AVG and 7 other fieldsHigh correlation
YEARS_BUILD_MODE is highly overall correlated with FLOORSMAX_AVG and 7 other fieldsHigh correlation
TARGET is highly imbalanced (59.6%)Imbalance
NAME_CONTRACT_TYPE is highly imbalanced (55.4%)Imbalance
NAME_TYPE_SUITE is highly imbalanced (66.4%)Imbalance
NAME_EDUCATION_TYPE is highly imbalanced (53.1%)Imbalance
NAME_HOUSING_TYPE is highly imbalanced (71.9%)Imbalance
FLAG_CONT_MOBILE is highly imbalanced (98.0%)Imbalance
FLAG_EMAIL is highly imbalanced (68.7%)Imbalance
REG_REGION_NOT_LIVE_REGION is highly imbalanced (88.7%)Imbalance
REG_REGION_NOT_WORK_REGION is highly imbalanced (71.2%)Imbalance
LIVE_REGION_NOT_WORK_REGION is highly imbalanced (75.6%)Imbalance
REG_CITY_NOT_LIVE_CITY is highly imbalanced (60.8%)Imbalance
HOUSETYPE_MODE is highly imbalanced (90.3%)Imbalance
EMERGENCYSTATE_MODE is highly imbalanced (89.5%)Imbalance
FLAG_DOCUMENT_2 is highly imbalanced (99.9%)Imbalance
FLAG_DOCUMENT_4 is highly imbalanced (99.8%)Imbalance
FLAG_DOCUMENT_5 is highly imbalanced (88.8%)Imbalance
FLAG_DOCUMENT_6 is highly imbalanced (56.8%)Imbalance
FLAG_DOCUMENT_7 is highly imbalanced (99.8%)Imbalance
FLAG_DOCUMENT_8 is highly imbalanced (59.0%)Imbalance
FLAG_DOCUMENT_9 is highly imbalanced (96.3%)Imbalance
FLAG_DOCUMENT_10 is highly imbalanced (99.9%)Imbalance
FLAG_DOCUMENT_11 is highly imbalanced (96.3%)Imbalance
FLAG_DOCUMENT_12 is highly imbalanced (> 99.9%)Imbalance
FLAG_DOCUMENT_13 is highly imbalanced (96.6%)Imbalance
FLAG_DOCUMENT_14 is highly imbalanced (97.1%)Imbalance
FLAG_DOCUMENT_15 is highly imbalanced (98.5%)Imbalance
FLAG_DOCUMENT_16 is highly imbalanced (91.9%)Imbalance
FLAG_DOCUMENT_17 is highly imbalanced (99.5%)Imbalance
FLAG_DOCUMENT_18 is highly imbalanced (93.3%)Imbalance
FLAG_DOCUMENT_19 is highly imbalanced (99.2%)Imbalance
FLAG_DOCUMENT_20 is highly imbalanced (99.3%)Imbalance
FLAG_DOCUMENT_21 is highly imbalanced (99.5%)Imbalance
AMT_REQ_CREDIT_BUREAU_HOUR is highly imbalanced (97.6%)Imbalance
OWN_CAR_AGE has 33132 (66.3%) missing valuesMissing
OCCUPATION_TYPE has 15701 (31.4%) missing valuesMissing
EXT_SOURCE_1 has 28392 (56.8%) missing valuesMissing
EXT_SOURCE_3 has 9904 (19.8%) missing valuesMissing
APARTMENTS_AVG has 25299 (50.6%) missing valuesMissing
BASEMENTAREA_AVG has 29226 (58.5%) missing valuesMissing
YEARS_BEGINEXPLUATATION_AVG has 24370 (48.7%) missing valuesMissing
YEARS_BUILD_AVG has 33161 (66.3%) missing valuesMissing
COMMONAREA_AVG has 34890 (69.8%) missing valuesMissing
ELEVATORS_AVG has 26607 (53.2%) missing valuesMissing
ENTRANCES_AVG has 25157 (50.3%) missing valuesMissing
FLOORSMAX_AVG has 24840 (49.7%) missing valuesMissing
FLOORSMIN_AVG has 33864 (67.7%) missing valuesMissing
LANDAREA_AVG has 29637 (59.3%) missing valuesMissing
LIVINGAPARTMENTS_AVG has 34114 (68.2%) missing valuesMissing
LIVINGAREA_AVG has 25041 (50.1%) missing valuesMissing
NONLIVINGAPARTMENTS_AVG has 34631 (69.3%) missing valuesMissing
NONLIVINGAREA_AVG has 27437 (54.9%) missing valuesMissing
APARTMENTS_MODE has 25299 (50.6%) missing valuesMissing
BASEMENTAREA_MODE has 29226 (58.5%) missing valuesMissing
YEARS_BEGINEXPLUATATION_MODE has 24370 (48.7%) missing valuesMissing
YEARS_BUILD_MODE has 33161 (66.3%) missing valuesMissing
COMMONAREA_MODE has 34890 (69.8%) missing valuesMissing
ELEVATORS_MODE has 26607 (53.2%) missing valuesMissing
ENTRANCES_MODE has 25157 (50.3%) missing valuesMissing
FLOORSMAX_MODE has 24840 (49.7%) missing valuesMissing
FLOORSMIN_MODE has 33864 (67.7%) missing valuesMissing
LANDAREA_MODE has 29637 (59.3%) missing valuesMissing
LIVINGAPARTMENTS_MODE has 34114 (68.2%) missing valuesMissing
LIVINGAREA_MODE has 25041 (50.1%) missing valuesMissing
NONLIVINGAPARTMENTS_MODE has 34631 (69.3%) missing valuesMissing
NONLIVINGAREA_MODE has 27437 (54.9%) missing valuesMissing
APARTMENTS_MEDI has 25299 (50.6%) missing valuesMissing
BASEMENTAREA_MEDI has 29226 (58.5%) missing valuesMissing
YEARS_BEGINEXPLUATATION_MEDI has 24370 (48.7%) missing valuesMissing
YEARS_BUILD_MEDI has 33161 (66.3%) missing valuesMissing
COMMONAREA_MEDI has 34890 (69.8%) missing valuesMissing
ELEVATORS_MEDI has 26607 (53.2%) missing valuesMissing
ENTRANCES_MEDI has 25157 (50.3%) missing valuesMissing
FLOORSMAX_MEDI has 24840 (49.7%) missing valuesMissing
FLOORSMIN_MEDI has 33864 (67.7%) missing valuesMissing
LANDAREA_MEDI has 29637 (59.3%) missing valuesMissing
LIVINGAPARTMENTS_MEDI has 34114 (68.2%) missing valuesMissing
LIVINGAREA_MEDI has 25041 (50.1%) missing valuesMissing
NONLIVINGAPARTMENTS_MEDI has 34631 (69.3%) missing valuesMissing
NONLIVINGAREA_MEDI has 27437 (54.9%) missing valuesMissing
FONDKAPREMONT_MODE has 34143 (68.3%) missing valuesMissing
HOUSETYPE_MODE has 25045 (50.1%) missing valuesMissing
TOTALAREA_MODE has 24122 (48.2%) missing valuesMissing
WALLSMATERIAL_MODE has 25366 (50.7%) missing valuesMissing
EMERGENCYSTATE_MODE has 23670 (47.3%) missing valuesMissing
AMT_REQ_CREDIT_BUREAU_HOUR has 6796 (13.6%) missing valuesMissing
AMT_REQ_CREDIT_BUREAU_DAY has 6796 (13.6%) missing valuesMissing
AMT_REQ_CREDIT_BUREAU_WEEK has 6796 (13.6%) missing valuesMissing
AMT_REQ_CREDIT_BUREAU_MON has 6796 (13.6%) missing valuesMissing
AMT_REQ_CREDIT_BUREAU_QRT has 6796 (13.6%) missing valuesMissing
AMT_REQ_CREDIT_BUREAU_YEAR has 6796 (13.6%) missing valuesMissing
AMT_INCOME_TOTAL is highly skewed (γ1 = 206.4681066)Skewed
AMT_REQ_CREDIT_BUREAU_DAY is highly skewed (γ1 = 26.6324211)Skewed
SK_ID_CURR has unique valuesUnique
CNT_CHILDREN has 35052 (70.1%) zerosZeros
BASEMENTAREA_AVG has 2403 (4.8%) zerosZeros
COMMONAREA_AVG has 1417 (2.8%) zerosZeros
ELEVATORS_AVG has 14020 (28.0%) zerosZeros
LANDAREA_AVG has 2543 (5.1%) zerosZeros
NONLIVINGAPARTMENTS_AVG has 8919 (17.8%) zerosZeros
NONLIVINGAREA_AVG has 9574 (19.1%) zerosZeros
BASEMENTAREA_MODE has 2704 (5.4%) zerosZeros
COMMONAREA_MODE has 1614 (3.2%) zerosZeros
ELEVATORS_MODE has 14631 (29.3%) zerosZeros
FLOORSMAX_MODE has 563 (1.1%) zerosZeros
LANDAREA_MODE has 2849 (5.7%) zerosZeros
NONLIVINGAPARTMENTS_MODE has 9646 (19.3%) zerosZeros
NONLIVINGAREA_MODE has 10925 (21.9%) zerosZeros
BASEMENTAREA_MEDI has 2438 (4.9%) zerosZeros
COMMONAREA_MEDI has 1446 (2.9%) zerosZeros
ELEVATORS_MEDI has 14231 (28.5%) zerosZeros
FLOORSMAX_MEDI has 501 (1.0%) zerosZeros
LANDAREA_MEDI has 2598 (5.2%) zerosZeros
NONLIVINGAPARTMENTS_MEDI has 9153 (18.3%) zerosZeros
NONLIVINGAREA_MEDI has 9933 (19.9%) zerosZeros
OBS_30_CNT_SOCIAL_CIRCLE has 26782 (53.6%) zerosZeros
DEF_30_CNT_SOCIAL_CIRCLE has 44029 (88.1%) zerosZeros
OBS_60_CNT_SOCIAL_CIRCLE has 26899 (53.8%) zerosZeros
DEF_60_CNT_SOCIAL_CIRCLE has 45566 (91.1%) zerosZeros
DAYS_LAST_PHONE_CHANGE has 6134 (12.3%) zerosZeros
AMT_REQ_CREDIT_BUREAU_DAY has 42934 (85.9%) zerosZeros
AMT_REQ_CREDIT_BUREAU_WEEK has 41773 (83.5%) zerosZeros
AMT_REQ_CREDIT_BUREAU_MON has 36131 (72.3%) zerosZeros
AMT_REQ_CREDIT_BUREAU_QRT has 35085 (70.2%) zerosZeros
AMT_REQ_CREDIT_BUREAU_YEAR has 11677 (23.4%) zerosZeros

Reproduction

Analysis started2024-09-01 10:13:49.883807
Analysis finished2024-09-01 10:14:17.600423
Duration27.72 seconds
Software versionydata-profiling vv4.9.0
Download configurationconfig.json

Variables

SK_ID_CURR
Real number (ℝ)

UNIQUE 

Distinct50000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean277922.79
Minimum100002
Maximum456247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:17.646728image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum100002
5-th percentile118305.85
Q1189456.5
median278094
Q3366733.75
95-th percentile438218.35
Maximum456247
Range356245
Interquartile range (IQR)177277.25

Descriptive statistics

Standard deviation102627.58
Coefficient of variation (CV)0.36926649
Kurtosis-1.1939641
Mean277922.79
Median Absolute Deviation (MAD)88639
Skewness0.0031814113
Sum1.389614 × 1010
Variance1.0532419 × 1010
MonotonicityNot monotonic
2024-09-01T13:14:17.718098image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
384575 1
 
< 0.1%
342815 1
 
< 0.1%
272802 1
 
< 0.1%
156618 1
 
< 0.1%
409564 1
 
< 0.1%
262168 1
 
< 0.1%
152118 1
 
< 0.1%
334079 1
 
< 0.1%
343817 1
 
< 0.1%
447074 1
 
< 0.1%
Other values (49990) 49990
> 99.9%
ValueCountFrequency (%)
100002 1
< 0.1%
100004 1
< 0.1%
100020 1
< 0.1%
100026 1
< 0.1%
100029 1
< 0.1%
100031 1
< 0.1%
100035 1
< 0.1%
100048 1
< 0.1%
100056 1
< 0.1%
100061 1
< 0.1%
ValueCountFrequency (%)
456247 1
< 0.1%
456246 1
< 0.1%
456238 1
< 0.1%
456228 1
< 0.1%
456213 1
< 0.1%
456193 1
< 0.1%
456188 1
< 0.1%
456187 1
< 0.1%
456184 1
< 0.1%
456152 1
< 0.1%

TARGET
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
45977 
1
 
4023

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 45977
92.0%
1 4023
 
8.0%

Length

2024-09-01T13:14:17.764930image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:17.798078image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

NAME_CONTRACT_TYPE
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Cash loans
45356 
Revolving loans
4644 

Length

Max length15
Median length10
Mean length10.4644
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCash loans
2nd rowCash loans
3rd rowCash loans
4th rowCash loans
5th rowCash loans

Common Values

ValueCountFrequency (%)
Cash loans 45356
90.7%
Revolving loans 4644
 
9.3%

Length

2024-09-01T13:14:17.992336image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:18.029517image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

CODE_GENDER
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
F
33049 
M
16950 
XNA
 
1

Length

Max length3
Median length1
Mean length1.00004
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowM
2nd rowF
3rd rowF
4th rowF
5th rowM

Common Values

ValueCountFrequency (%)
F 33049
66.1%
M 16950
33.9%
XNA 1
 
< 0.1%

Length

2024-09-01T13:14:18.071714image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:18.111130image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_OWN_CAR
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size439.5 KiB
False
33131 
True
16869 
ValueCountFrequency (%)
False 33131
66.3%
True 16869
33.7%
2024-09-01T13:14:18.142415image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size439.5 KiB
True
34548 
False
15452 
ValueCountFrequency (%)
True 34548
69.1%
False 15452
30.9%
2024-09-01T13:14:18.173674image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

CNT_CHILDREN
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.41786
Minimum0
Maximum12
Zeros35052
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:18.208217image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.72703755
Coefficient of variation (CV)1.739907
Kurtosis5.8859229
Mean0.41786
Median Absolute Deviation (MAD)0
Skewness1.9509105
Sum20893
Variance0.52858359
MonotonicityNot monotonic
2024-09-01T13:14:18.248017image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 35052
70.1%
1 9921
 
19.8%
2 4263
 
8.5%
3 656
 
1.3%
4 85
 
0.2%
5 16
 
< 0.1%
7 2
 
< 0.1%
12 2
 
< 0.1%
6 2
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 35052
70.1%
1 9921
 
19.8%
2 4263
 
8.5%
3 656
 
1.3%
4 85
 
0.2%
5 16
 
< 0.1%
6 2
 
< 0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
12 2
 
< 0.1%
ValueCountFrequency (%)
12 2
 
< 0.1%
8 1
 
< 0.1%
7 2
 
< 0.1%
6 2
 
< 0.1%
5 16
 
< 0.1%
4 85
 
0.2%
3 656
 
1.3%
2 4263
 
8.5%
1 9921
 
19.8%
0 35052
70.1%

AMT_INCOME_TOTAL
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct759
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean170259.15
Minimum26100
Maximum1.17 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:18.287817image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum26100
5-th percentile67500
Q1112500
median147523.5
Q3202500
95-th percentile337500
Maximum1.17 × 108
Range1.169739 × 108
Interquartile range (IQR)90000

Descriptive statistics

Standard deviation537220.26
Coefficient of variation (CV)3.1553091
Kurtosis44761.236
Mean170259.15
Median Absolute Deviation (MAD)44023.5
Skewness206.46811
Sum8.5129576 × 109
Variance2.886056 × 1011
MonotonicityNot monotonic
2024-09-01T13:14:18.332504image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
135000 5827
 
11.7%
112500 5029
 
10.1%
157500 4362
 
8.7%
180000 3984
 
8.0%
90000 3642
 
7.3%
225000 3295
 
6.6%
202500 2698
 
5.4%
67500 1791
 
3.6%
270000 1790
 
3.6%
81000 1019
 
2.0%
Other values (749) 16563
33.1%
ValueCountFrequency (%)
26100 1
 
< 0.1%
26550 1
 
< 0.1%
27000 14
 
< 0.1%
27585 1
 
< 0.1%
28350 3
 
< 0.1%
28800 1
 
< 0.1%
29133 1
 
< 0.1%
29250 1
 
< 0.1%
30150 1
 
< 0.1%
31500 35
0.1%
ValueCountFrequency (%)
117000000 1
 
< 0.1%
18000090 1
 
< 0.1%
3375000 1
 
< 0.1%
2930026.5 1
 
< 0.1%
2250000 1
 
< 0.1%
2025000 2
< 0.1%
1800000 3
< 0.1%
1755000 1
 
< 0.1%
1575000 3
< 0.1%
1530000 1
 
< 0.1%

AMT_CREDIT
Real number (ℝ)

HIGH CORRELATION 

Distinct3361
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean597746.32
Minimum45000
Maximum4050000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:18.374745image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum45000
5-th percentile137538
Q1270000
median512338.5
Q3808650
95-th percentile1350000
Maximum4050000
Range4005000
Interquartile range (IQR)538650

Descriptive statistics

Standard deviation399917.32
Coefficient of variation (CV)0.66904188
Kurtosis2.0804677
Mean597746.32
Median Absolute Deviation (MAD)248652
Skewness1.2535691
Sum2.9887316 × 1010
Variance1.5993386 × 1011
MonotonicityNot monotonic
2024-09-01T13:14:18.420439image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
450000 1645
 
3.3%
675000 1426
 
2.9%
225000 1274
 
2.5%
180000 1165
 
2.3%
270000 1160
 
2.3%
900000 1035
 
2.1%
545040 740
 
1.5%
254700 702
 
1.4%
808650 668
 
1.3%
135000 580
 
1.2%
Other values (3351) 39605
79.2%
ValueCountFrequency (%)
45000 38
0.1%
47970 46
0.1%
49455 4
 
< 0.1%
49500 5
 
< 0.1%
49752 3
 
< 0.1%
50940 68
0.1%
52128 17
 
< 0.1%
52767 4
 
< 0.1%
53910 11
 
< 0.1%
54000 5
 
< 0.1%
ValueCountFrequency (%)
4050000 2
 
< 0.1%
3600000 1
 
< 0.1%
3312162 1
 
< 0.1%
3299688 1
 
< 0.1%
3150000 2
 
< 0.1%
2961000 1
 
< 0.1%
2931660 1
 
< 0.1%
2700000 1
 
< 0.1%
2695500 10
< 0.1%
2606400 3
 
< 0.1%

AMT_ANNUITY
Real number (ℝ)

HIGH CORRELATION 

Distinct8819
Distinct (%)17.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27113.516
Minimum1980
Maximum230161.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:18.463939image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum1980
5-th percentile9000
Q116582.5
median24939
Q334573.5
95-th percentile53190.675
Maximum230161.5
Range228181.5
Interquartile range (IQR)17991

Descriptive statistics

Standard deviation14495.194
Coefficient of variation (CV)0.53461139
Kurtosis9.3133809
Mean27113.516
Median Absolute Deviation (MAD)8775
Skewness1.6896975
Sum1.3556216 × 109
Variance2.1011066 × 108
MonotonicityNot monotonic
2024-09-01T13:14:18.504664image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
9000 1015
 
2.0%
13500 881
 
1.8%
6750 386
 
0.8%
10125 321
 
0.6%
37800 238
 
0.5%
12375 235
 
0.5%
26217 235
 
0.5%
20250 221
 
0.4%
31653 219
 
0.4%
11250 215
 
0.4%
Other values (8809) 46032
92.1%
ValueCountFrequency (%)
1980 2
< 0.1%
2052 1
< 0.1%
2412 1
< 0.1%
2511 1
< 0.1%
2542.5 1
< 0.1%
2749.5 1
< 0.1%
2857.5 1
< 0.1%
2875.5 1
< 0.1%
2920.5 2
< 0.1%
2974.5 1
< 0.1%
ValueCountFrequency (%)
230161.5 1
 
< 0.1%
225000 5
< 0.1%
220297.5 1
 
< 0.1%
213291 1
 
< 0.1%
177696 1
 
< 0.1%
173574 2
 
< 0.1%
170986.5 1
 
< 0.1%
154255.5 1
 
< 0.1%
150799.5 1
 
< 0.1%
150489 1
 
< 0.1%

AMT_GOODS_PRICE
Real number (ℝ)

HIGH CORRELATION 

Distinct526
Distinct (%)1.1%
Missing45
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean536832.84
Minimum45000
Maximum4050000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:18.542775image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum45000
5-th percentile135000
Q1238500
median450000
Q3679500
95-th percentile1305000
Maximum4050000
Range4005000
Interquartile range (IQR)441000

Descriptive statistics

Standard deviation366613.3
Coefficient of variation (CV)0.68291892
Kurtosis2.6160259
Mean536832.84
Median Absolute Deviation (MAD)225000
Skewness1.3670136
Sum2.6817484 × 1010
Variance1.3440531 × 1011
MonotonicityNot monotonic
2024-09-01T13:14:18.588583image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
450000 4421
 
8.8%
675000 4044
 
8.1%
225000 4027
 
8.1%
900000 2534
 
5.1%
270000 1840
 
3.7%
180000 1605
 
3.2%
454500 1484
 
3.0%
1125000 1398
 
2.8%
135000 1317
 
2.6%
315000 831
 
1.7%
Other values (516) 26454
52.9%
ValueCountFrequency (%)
45000 197
0.4%
49500 29
 
0.1%
54000 31
 
0.1%
58500 47
 
0.1%
63000 21
 
< 0.1%
67392 2
 
< 0.1%
67500 251
0.5%
72000 22
 
< 0.1%
76500 50
 
0.1%
81000 55
 
0.1%
ValueCountFrequency (%)
4050000 2
 
< 0.1%
3600000 1
 
< 0.1%
3150000 4
 
< 0.1%
2961000 1
 
< 0.1%
2700000 2
 
< 0.1%
2547000 1
 
< 0.1%
2295000 1
 
< 0.1%
2254500 7
 
< 0.1%
2250000 116
0.2%
2223000 1
 
< 0.1%

NAME_TYPE_SUITE
Categorical

IMBALANCE 

Distinct7
Distinct (%)< 0.1%
Missing191
Missing (%)0.4%
Memory size3.3 MiB
Unaccompanied
40524 
Family
6492 
Spouse, partner
 
1791
Children
 
546
Other_B
 
291
Other values (2)
 
165

Length

Max length15
Median length13
Mean length12.055914
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnaccompanied
2nd rowUnaccompanied
3rd rowUnaccompanied
4th rowUnaccompanied
5th rowUnaccompanied

Common Values

ValueCountFrequency (%)
Unaccompanied 40524
81.0%
Family 6492
 
13.0%
Spouse, partner 1791
 
3.6%
Children 546
 
1.1%
Other_B 291
 
0.6%
Other_A 127
 
0.3%
Group of people 38
 
0.1%
(Missing) 191
 
0.4%

Length

2024-09-01T13:14:18.635723image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:18.679830image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

NAME_INCOME_TYPE
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Working
25844 
Commercial associate
11645 
Pensioner
8995 
State servant
3508 
Maternity leave
 
3
Other values (3)
 
5

Length

Max length20
Median length7
Mean length10.80914
Min length7

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowCommercial associate
2nd rowCommercial associate
3rd rowWorking
4th rowState servant
5th rowWorking

Common Values

ValueCountFrequency (%)
Working 25844
51.7%
Commercial associate 11645
23.3%
Pensioner 8995
 
18.0%
State servant 3508
 
7.0%
Maternity leave 3
 
< 0.1%
Student 2
 
< 0.1%
Unemployed 2
 
< 0.1%
Businessman 1
 
< 0.1%

Length

2024-09-01T13:14:18.728510image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:18.771975image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

NAME_EDUCATION_TYPE
Categorical

IMBALANCE 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.9 MiB
Secondary / secondary special
35648 
Higher education
12041 
Incomplete higher
 
1685
Lower secondary
 
597
Academic degree
 
29

Length

Max length29
Median length29
Mean length25.28966
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSecondary / secondary special
2nd rowHigher education
3rd rowSecondary / secondary special
4th rowSecondary / secondary special
5th rowSecondary / secondary special

Common Values

ValueCountFrequency (%)
Secondary / secondary special 35648
71.3%
Higher education 12041
 
24.1%
Incomplete higher 1685
 
3.4%
Lower secondary 597
 
1.2%
Academic degree 29
 
0.1%

Length

2024-09-01T13:14:18.824938image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:18.866388image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Married
31760 
Single / not married
7499 
Civil marriage
4797 
Separated
3226 
Widow
 
2717

Length

Max length20
Median length7
Mean length9.64168
Min length5

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowMarried
2nd rowSingle / not married
3rd rowMarried
4th rowWidow
5th rowSingle / not married

Common Values

ValueCountFrequency (%)
Married 31760
63.5%
Single / not married 7499
 
15.0%
Civil marriage 4797
 
9.6%
Separated 3226
 
6.5%
Widow 2717
 
5.4%
Unknown 1
 
< 0.1%

Length

2024-09-01T13:14:18.922276image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:18.974038image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

NAME_HOUSING_TYPE
Categorical

IMBALANCE 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.5 MiB
House / apartment
44293 
With parents
 
2456
Municipal apartment
 
1859
Rented apartment
 
795
Office apartment
 
422

Length

Max length19
Median length17
Mean length16.79742
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowHouse / apartment
2nd rowHouse / apartment
3rd rowHouse / apartment
4th rowHouse / apartment
5th rowHouse / apartment

Common Values

ValueCountFrequency (%)
House / apartment 44293
88.6%
With parents 2456
 
4.9%
Municipal apartment 1859
 
3.7%
Rented apartment 795
 
1.6%
Office apartment 422
 
0.8%
Co-op apartment 175
 
0.4%

Length

2024-09-01T13:14:19.029781image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:19.075579image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

REGION_POPULATION_RELATIVE
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.020894146
Minimum0.00029
Maximum0.072508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:19.117344image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0.00029
5-th percentile0.00496
Q10.010006
median0.01885
Q30.028663
95-th percentile0.04622
Maximum0.072508
Range0.072218
Interquartile range (IQR)0.018657

Descriptive statistics

Standard deviation0.013868723
Coefficient of variation (CV)0.66376116
Kurtosis3.3078851
Mean0.020894146
Median Absolute Deviation (MAD)0.008844
Skewness1.5003819
Sum1044.7073
Variance0.00019234147
MonotonicityNot monotonic
2024-09-01T13:14:19.159706image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.035792 2669
 
5.3%
0.04622 2124
 
4.2%
0.030755 2005
 
4.0%
0.026392 1928
 
3.9%
0.025164 1922
 
3.8%
0.028663 1858
 
3.7%
0.031329 1804
 
3.6%
0.019101 1437
 
2.9%
0.072508 1404
 
2.8%
0.020713 1283
 
2.6%
Other values (71) 31566
63.1%
ValueCountFrequency (%)
0.00029 1
 
< 0.1%
0.000533 10
 
< 0.1%
0.000938 5
 
< 0.1%
0.001276 80
 
0.2%
0.001333 33
 
0.1%
0.001417 68
 
0.1%
0.002042 275
0.5%
0.002134 163
0.3%
0.002506 166
0.3%
0.003069 304
0.6%
ValueCountFrequency (%)
0.072508 1404
2.8%
0.04622 2124
4.2%
0.035792 2669
5.3%
0.032561 1063
 
2.1%
0.031329 1804
3.6%
0.030755 2005
4.0%
0.028663 1858
3.7%
0.026392 1928
3.9%
0.025164 1922
3.8%
0.02461 1069
2.1%

DAYS_BIRTH
Real number (ℝ)

HIGH CORRELATION 

Distinct15739
Distinct (%)31.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16037.229
Minimum-25197
Maximum-7673
Zeros0
Zeros (%)0.0%
Negative50000
Negative (%)100.0%
Memory size781.2 KiB
2024-09-01T13:14:19.200724image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum-25197
5-th percentile-23216
Q1-19681
median-15748
Q3-12415
95-th percentile-9405.95
Maximum-7673
Range17524
Interquartile range (IQR)7266

Descriptive statistics

Standard deviation4370.8137
Coefficient of variation (CV)-0.27254171
Kurtosis-1.0487904
Mean-16037.229
Median Absolute Deviation (MAD)3625
Skewness-0.1183752
Sum-8.0186143 × 108
Variance19104013
MonotonicityNot monotonic
2024-09-01T13:14:19.251749image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-17329 13
 
< 0.1%
-19807 12
 
< 0.1%
-13577 12
 
< 0.1%
-15787 12
 
< 0.1%
-11566 11
 
< 0.1%
-13427 11
 
< 0.1%
-14267 11
 
< 0.1%
-14547 11
 
< 0.1%
-15561 11
 
< 0.1%
-20292 11
 
< 0.1%
Other values (15729) 49885
99.8%
ValueCountFrequency (%)
-25197 1
< 0.1%
-25192 1
< 0.1%
-25191 1
< 0.1%
-25175 1
< 0.1%
-25166 1
< 0.1%
-25161 1
< 0.1%
-25159 1
< 0.1%
-25152 1
< 0.1%
-25150 1
< 0.1%
-25140 2
< 0.1%
ValueCountFrequency (%)
-7673 1
< 0.1%
-7680 1
< 0.1%
-7688 2
< 0.1%
-7692 1
< 0.1%
-7694 1
< 0.1%
-7695 1
< 0.1%
-7696 1
< 0.1%
-7698 2
< 0.1%
-7700 1
< 0.1%
-7701 1
< 0.1%

DAYS_EMPLOYED
Real number (ℝ)

HIGH CORRELATION 

Distinct8038
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63756.103
Minimum-16852
Maximum365243
Zeros0
Zeros (%)0.0%
Negative41004
Negative (%)82.0%
Memory size781.2 KiB
2024-09-01T13:14:19.292621image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum-16852
5-th percentile-6697
Q1-2779.25
median-1220
Q3-292
95-th percentile365243
Maximum365243
Range382095
Interquartile range (IQR)2487.25

Descriptive statistics

Standard deviation141231.88
Coefficient of variation (CV)2.2151899
Kurtosis0.77624217
Mean63756.103
Median Absolute Deviation (MAD)1099
Skewness1.6657328
Sum3.1878052 × 109
Variance1.9946443 × 1010
MonotonicityNot monotonic
2024-09-01T13:14:19.334900image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
365243 8996
 
18.0%
-229 37
 
0.1%
-222 32
 
0.1%
-116 31
 
0.1%
-212 29
 
0.1%
-147 28
 
0.1%
-214 28
 
0.1%
-141 27
 
0.1%
-206 26
 
0.1%
-268 26
 
0.1%
Other values (8028) 40740
81.5%
ValueCountFrequency (%)
-16852 1
< 0.1%
-16836 1
< 0.1%
-16607 1
< 0.1%
-16495 1
< 0.1%
-16358 1
< 0.1%
-16352 1
< 0.1%
-16221 1
< 0.1%
-16169 1
< 0.1%
-16113 1
< 0.1%
-16061 1
< 0.1%
ValueCountFrequency (%)
365243 8996
18.0%
-3 3
 
< 0.1%
-4 1
 
< 0.1%
-9 1
 
< 0.1%
-11 1
 
< 0.1%
-12 2
 
< 0.1%
-13 2
 
< 0.1%
-15 1
 
< 0.1%
-16 1
 
< 0.1%
-18 1
 
< 0.1%

DAYS_REGISTRATION
Real number (ℝ)

Distinct12745
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4999.7653
Minimum-24672
Maximum0
Zeros19
Zeros (%)< 0.1%
Negative49981
Negative (%)> 99.9%
Memory size781.2 KiB
2024-09-01T13:14:19.376692image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum-24672
5-th percentile-11446.05
Q1-7492.25
median-4506
Q3-2037
95-th percentile-330
Maximum0
Range24672
Interquartile range (IQR)5455.25

Descriptive statistics

Standard deviation3531.7141
Coefficient of variation (CV)-0.70637597
Kurtosis-0.26327216
Mean-4999.7653
Median Absolute Deviation (MAD)2686
Skewness-0.60770523
Sum-2.4998827 × 108
Variance12473004
MonotonicityNot monotonic
2024-09-01T13:14:19.418295image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 19
 
< 0.1%
-6 18
 
< 0.1%
-4647 18
 
< 0.1%
-4 17
 
< 0.1%
-4774 16
 
< 0.1%
-610 16
 
< 0.1%
-1 16
 
< 0.1%
-7 15
 
< 0.1%
-840 15
 
< 0.1%
-88 15
 
< 0.1%
Other values (12735) 49835
99.7%
ValueCountFrequency (%)
-24672 1
< 0.1%
-23738 1
< 0.1%
-22392 1
< 0.1%
-20981 1
< 0.1%
-20560 1
< 0.1%
-20452 1
< 0.1%
-19504 1
< 0.1%
-19207 1
< 0.1%
-19183 1
< 0.1%
-18660 2
< 0.1%
ValueCountFrequency (%)
0 19
< 0.1%
-1 16
< 0.1%
-2 10
< 0.1%
-3 12
< 0.1%
-4 17
< 0.1%
-5 12
< 0.1%
-6 18
< 0.1%
-7 15
< 0.1%
-8 6
 
< 0.1%
-9 12
< 0.1%

DAYS_ID_PUBLISH
Real number (ℝ)

Distinct5760
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2996.2317
Minimum-6263
Maximum0
Zeros3
Zeros (%)< 0.1%
Negative49997
Negative (%)> 99.9%
Memory size781.2 KiB
2024-09-01T13:14:19.457025image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum-6263
5-th percentile-4944.05
Q1-4308
median-3257
Q3-1724
95-th percentile-376
Maximum0
Range6263
Interquartile range (IQR)2584

Descriptive statistics

Standard deviation1510.5669
Coefficient of variation (CV)-0.50415557
Kurtosis-1.1103451
Mean-2996.2317
Median Absolute Deviation (MAD)1192
Skewness0.34581177
Sum-1.4981159 × 108
Variance2281812.4
MonotonicityNot monotonic
2024-09-01T13:14:19.498140image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-4095 39
 
0.1%
-4073 35
 
0.1%
-4053 31
 
0.1%
-4473 30
 
0.1%
-4151 30
 
0.1%
-4285 30
 
0.1%
-4382 30
 
0.1%
-4355 29
 
0.1%
-4145 29
 
0.1%
-4187 29
 
0.1%
Other values (5750) 49688
99.4%
ValueCountFrequency (%)
-6263 1
< 0.1%
-6233 1
< 0.1%
-6226 1
< 0.1%
-6216 1
< 0.1%
-6211 1
< 0.1%
-6207 1
< 0.1%
-6206 1
< 0.1%
-6197 1
< 0.1%
-6183 1
< 0.1%
-6175 1
< 0.1%
ValueCountFrequency (%)
0 3
 
< 0.1%
-1 7
< 0.1%
-2 9
< 0.1%
-3 9
< 0.1%
-4 13
< 0.1%
-5 13
< 0.1%
-6 13
< 0.1%
-7 17
< 0.1%
-8 16
< 0.1%
-9 5
 
< 0.1%

OWN_CAR_AGE
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct55
Distinct (%)0.3%
Missing33132
Missing (%)66.3%
Infinite0
Infinite (%)0.0%
Mean12.161371
Minimum0
Maximum65
Zeros343
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:19.538773image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median9
Q315
95-th percentile30
Maximum65
Range65
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.082861
Coefficient of variation (CV)0.99354437
Kurtosis8.9505742
Mean12.161371
Median Absolute Deviation (MAD)5
Skewness2.7176945
Sum205138
Variance145.99554
MonotonicityNot monotonic
2024-09-01T13:14:19.579196image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
7 1202
 
2.4%
6 1037
 
2.1%
3 1005
 
2.0%
2 986
 
2.0%
8 965
 
1.9%
4 914
 
1.8%
1 831
 
1.7%
9 772
 
1.5%
10 749
 
1.5%
13 735
 
1.5%
Other values (45) 7672
 
15.3%
(Missing) 33132
66.3%
ValueCountFrequency (%)
0 343
 
0.7%
1 831
1.7%
2 986
2.0%
3 1005
2.0%
4 914
1.8%
5 543
1.1%
6 1037
2.1%
7 1202
2.4%
8 965
1.9%
9 772
1.5%
ValueCountFrequency (%)
65 152
 
0.3%
64 406
0.8%
56 1
 
< 0.1%
54 1
 
< 0.1%
51 1
 
< 0.1%
50 1
 
< 0.1%
49 1
 
< 0.1%
47 1
 
< 0.1%
46 1
 
< 0.1%
45 1
 
< 0.1%

FLAG_MOBIL
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
1
50000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 50000
100.0%

Length

2024-09-01T13:14:19.621443image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:19.653029image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_EMP_PHONE
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
1
41003 
0
8997 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 41003
82.0%
0 8997
 
18.0%

Length

2024-09-01T13:14:19.690378image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:19.723206image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_WORK_PHONE
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
39988 
1
10012 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 39988
80.0%
1 10012
 
20.0%

Length

2024-09-01T13:14:19.760791image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:19.792910image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_CONT_MOBILE
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
1
49904 
0
 
96

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 49904
99.8%
0 96
 
0.2%

Length

2024-09-01T13:14:19.829184image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:19.860976image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_PHONE
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
35926 
1
14074 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35926
71.9%
1 14074
 
28.1%

Length

2024-09-01T13:14:19.895976image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:19.928382image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_EMAIL
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
47183 
1
 
2817

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 47183
94.4%
1 2817
 
5.6%

Length

2024-09-01T13:14:19.963675image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:19.996198image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

OCCUPATION_TYPE
Categorical

HIGH CORRELATION  MISSING 

Distinct18
Distinct (%)0.1%
Missing15701
Missing (%)31.4%
Memory size3.2 MiB
Laborers
8913 
Sales staff
5268 
Core staff
4466 
Managers
3447 
Drivers
3019 
Other values (13)
9186 

Length

Max length21
Median length20
Mean length10.549025
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSales staff
2nd rowManagers
3rd rowSales staff
4th rowHigh skill tech staff
5th rowLaborers

Common Values

ValueCountFrequency (%)
Laborers 8913
17.8%
Sales staff 5268
 
10.5%
Core staff 4466
 
8.9%
Managers 3447
 
6.9%
Drivers 3019
 
6.0%
High skill tech staff 1788
 
3.6%
Accountants 1594
 
3.2%
Medicine staff 1380
 
2.8%
Security staff 1113
 
2.2%
Cooking staff 1008
 
2.0%
Other values (8) 2303
 
4.6%
(Missing) 15701
31.4%

Length

2024-09-01T13:14:20.036135image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

CNT_FAM_MEMBERS
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.149023
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:20.085231image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum14
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.91837157
Coefficient of variation (CV)0.42734376
Kurtosis2.2588014
Mean2.149023
Median Absolute Deviation (MAD)0
Skewness0.99381079
Sum107449
Variance0.84340633
MonotonicityNot monotonic
2024-09-01T13:14:20.131614image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2 25540
51.1%
1 11265
22.5%
3 8536
 
17.1%
4 3942
 
7.9%
5 613
 
1.2%
6 81
 
0.2%
7 15
 
< 0.1%
9 2
 
< 0.1%
14 2
 
< 0.1%
8 2
 
< 0.1%
ValueCountFrequency (%)
1 11265
22.5%
2 25540
51.1%
3 8536
 
17.1%
4 3942
 
7.9%
5 613
 
1.2%
6 81
 
0.2%
7 15
 
< 0.1%
8 2
 
< 0.1%
9 2
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
14 2
 
< 0.1%
10 1
 
< 0.1%
9 2
 
< 0.1%
8 2
 
< 0.1%
7 15
 
< 0.1%
6 81
 
0.2%
5 613
 
1.2%
4 3942
 
7.9%
3 8536
 
17.1%
2 25540
51.1%

REGION_RATING_CLIENT
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
2
36942 
3
7847 
1
5211 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row2
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2 36942
73.9%
3 7847
 
15.7%
1 5211
 
10.4%

Length

2024-09-01T13:14:20.175271image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:20.210135image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

REGION_RATING_CLIENT_W_CITY
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
2
37355 
3
7107 
1
5538 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row2
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2 37355
74.7%
3 7107
 
14.2%
1 5538
 
11.1%

Length

2024-09-01T13:14:20.247753image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:20.282457image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.1 MiB
TUESDAY
8791 
WEDNESDAY
8456 
FRIDAY
8288 
MONDAY
8232 
THURSDAY
8108 
Other values (2)
8125 

Length

Max length9
Median length8
Mean length7.22394
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTHURSDAY
2nd rowTHURSDAY
3rd rowTUESDAY
4th rowFRIDAY
5th rowWEDNESDAY

Common Values

ValueCountFrequency (%)
TUESDAY 8791
17.6%
WEDNESDAY 8456
16.9%
FRIDAY 8288
16.6%
MONDAY 8232
16.5%
THURSDAY 8108
16.2%
SATURDAY 5411
10.8%
SUNDAY 2714
 
5.4%

Length

2024-09-01T13:14:20.323649image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:20.365259image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

HOUR_APPR_PROCESS_START
Real number (ℝ)

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.05524
Minimum0
Maximum23
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:20.409739image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q110
median12
Q314
95-th percentile17
Maximum23
Range23
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.2566978
Coefficient of variation (CV)0.2701479
Kurtosis-0.19281397
Mean12.05524
Median Absolute Deviation (MAD)2
Skewness-0.015995178
Sum602762
Variance10.606081
MonotonicityNot monotonic
2024-09-01T13:14:20.624552image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
10 6191
12.4%
11 6030
12.1%
12 5678
11.4%
13 4986
10.0%
14 4531
9.1%
9 4459
8.9%
15 3965
7.9%
16 3312
6.6%
8 2457
 
4.9%
17 2421
 
4.8%
Other values (14) 5970
11.9%
ValueCountFrequency (%)
0 6
 
< 0.1%
1 12
 
< 0.1%
2 44
 
0.1%
3 199
 
0.4%
4 323
 
0.6%
5 603
 
1.2%
6 942
 
1.9%
7 1495
 
3.0%
8 2457
4.9%
9 4459
8.9%
ValueCountFrequency (%)
23 7
 
< 0.1%
22 19
 
< 0.1%
21 73
 
0.1%
20 216
 
0.4%
19 612
 
1.2%
18 1419
 
2.8%
17 2421
4.8%
16 3312
6.6%
15 3965
7.9%
14 4531
9.1%

REG_REGION_NOT_LIVE_REGION
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
49241 
1
 
759

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 49241
98.5%
1 759
 
1.5%

Length

2024-09-01T13:14:20.667082image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:20.699591image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

REG_REGION_NOT_WORK_REGION
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
47479 
1
 
2521

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 47479
95.0%
1 2521
 
5.0%

Length

2024-09-01T13:14:20.737098image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:20.769258image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

LIVE_REGION_NOT_WORK_REGION
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
47977 
1
 
2023

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 47977
96.0%
1 2023
 
4.0%

Length

2024-09-01T13:14:20.804371image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:20.836033image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

REG_CITY_NOT_LIVE_CITY
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
46148 
1
 
3852

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 46148
92.3%
1 3852
 
7.7%

Length

2024-09-01T13:14:20.876424image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:20.909481image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

REG_CITY_NOT_WORK_CITY
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
38478 
1
11522 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 38478
77.0%
1 11522
 
23.0%

Length

2024-09-01T13:14:20.945242image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:20.977783image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

LIVE_CITY_NOT_WORK_CITY
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
40983 
1
9017 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 40983
82.0%
1 9017
 
18.0%

Length

2024-09-01T13:14:21.013453image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:21.049042image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Distinct58
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.3 MiB
2024-09-01T13:14:21.125237image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length22
Median length17
Mean length12.52764
Min length3

Characters and Unicode

Total characters626382
Distinct characters52
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowBusiness Entity Type 3
2nd rowBusiness Entity Type 3
3rd rowSelf-employed
4th rowBusiness Entity Type 3
5th rowBusiness Entity Type 3
ValueCountFrequency (%)
type 19940
19.2%
business 13745
13.2%
entity 13745
13.2%
3 12460
12.0%
xna 8996
8.7%
self-employed 6258
 
6.0%
other 2669
 
2.6%
2 2415
 
2.3%
trade 2376
 
2.3%
industry 2342
 
2.3%
Other values (40) 19028
18.3%
2024-09-01T13:14:21.274319image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 70914
 
11.3%
53974
 
8.6%
t 48885
 
7.8%
s 48566
 
7.8%
y 44053
 
7.0%
n 42920
 
6.9%
i 38559
 
6.2%
p 27675
 
4.4%
u 19771
 
3.2%
r 18972
 
3.0%
Other values (42) 212093
33.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 626382
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 70914
 
11.3%
53974
 
8.6%
t 48885
 
7.8%
s 48566
 
7.8%
y 44053
 
7.0%
n 42920
 
6.9%
i 38559
 
6.2%
p 27675
 
4.4%
u 19771
 
3.2%
r 18972
 
3.0%
Other values (42) 212093
33.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 626382
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 70914
 
11.3%
53974
 
8.6%
t 48885
 
7.8%
s 48566
 
7.8%
y 44053
 
7.0%
n 42920
 
6.9%
i 38559
 
6.2%
p 27675
 
4.4%
u 19771
 
3.2%
r 18972
 
3.0%
Other values (42) 212093
33.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 626382
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 70914
 
11.3%
53974
 
8.6%
t 48885
 
7.8%
s 48566
 
7.8%
y 44053
 
7.0%
n 42920
 
6.9%
i 38559
 
6.2%
p 27675
 
4.4%
u 19771
 
3.2%
r 18972
 
3.0%
Other values (42) 212093
33.9%

EXT_SOURCE_1
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct21078
Distinct (%)97.5%
Missing28392
Missing (%)56.8%
Infinite0
Infinite (%)0.0%
Mean0.50204194
Minimum0.015052921
Maximum0.96269277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:21.330834image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0.015052921
5-th percentile0.15577736
Q10.33553587
median0.50560131
Q30.67510107
95-th percentile0.83053878
Maximum0.96269277
Range0.94763985
Interquartile range (IQR)0.3395652

Descriptive statistics

Standard deviation0.21126249
Coefficient of variation (CV)0.42080646
Kurtosis-0.95816266
Mean0.50204194
Median Absolute Deviation (MAD)0.16966842
Skewness-0.07917469
Sum10848.122
Variance0.044631839
MonotonicityNot monotonic
2024-09-01T13:14:21.373209image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.6449668361 3
 
< 0.1%
0.6491858113 3
 
< 0.1%
0.3000218043 3
 
< 0.1%
0.7329225184 3
 
< 0.1%
0.6062578821 3
 
< 0.1%
0.4534981223 3
 
< 0.1%
0.7101563022 3
 
< 0.1%
0.7311782264 3
 
< 0.1%
0.510962057 3
 
< 0.1%
0.7160984065 3
 
< 0.1%
Other values (21068) 21578
43.2%
(Missing) 28392
56.8%
ValueCountFrequency (%)
0.0150529213 1
< 0.1%
0.01560008058 1
< 0.1%
0.01739440941 1
< 0.1%
0.01789680481 1
< 0.1%
0.02093879214 1
< 0.1%
0.02138185152 1
< 0.1%
0.02148251796 1
< 0.1%
0.02319764458 1
< 0.1%
0.02360530448 1
< 0.1%
0.02384526275 1
< 0.1%
ValueCountFrequency (%)
0.9626927706 1
< 0.1%
0.9460976144 1
< 0.1%
0.9419858745 1
< 0.1%
0.9414327203 1
< 0.1%
0.9381898537 1
< 0.1%
0.9375004297 1
< 0.1%
0.9362974713 1
< 0.1%
0.9348030385 1
< 0.1%
0.9347469876 1
< 0.1%
0.9339095586 1
< 0.1%

EXT_SOURCE_2
Real number (ℝ)

Distinct39374
Distinct (%)78.9%
Missing103
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.5146893
Minimum5.6003377 × 10-6
Maximum0.85499967
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:21.414534image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum5.6003377 × 10-6
5-th percentile0.13387063
Q10.39356855
median0.56620314
Q30.66326065
95-th percentile0.74759305
Maximum0.85499967
Range0.85499407
Interquartile range (IQR)0.2696921

Descriptive statistics

Standard deviation0.19071616
Coefficient of variation (CV)0.3705462
Kurtosis-0.25517065
Mean0.5146893
Median Absolute Deviation (MAD)0.117991
Skewness-0.80079554
Sum25681.452
Variance0.036372654
MonotonicityNot monotonic
2024-09-01T13:14:21.455250image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.2858978721 105
 
0.2%
0.2652563402 64
 
0.1%
0.1596792335 64
 
0.1%
0.2622583692 63
 
0.1%
0.2665197754 49
 
0.1%
0.2653117485 48
 
0.1%
0.162192106 42
 
0.1%
0.263143591 38
 
0.1%
0.1631870355 34
 
0.1%
0.1621445677 33
 
0.1%
Other values (39364) 49357
98.7%
(Missing) 103
 
0.2%
ValueCountFrequency (%)
5.600337749 × 10-61
< 0.1%
5.939650929 × 10-61
< 0.1%
1.27231438 × 10-51
< 0.1%
2.275597911 × 10-51
< 0.1%
2.278436039 × 10-51
< 0.1%
3.485476828 × 10-51
< 0.1%
3.585274029 × 10-51
< 0.1%
7.364388802 × 10-51
< 0.1%
0.0001309399235 1
< 0.1%
0.0001353973014 1
< 0.1%
ValueCountFrequency (%)
0.8549996664 6
< 0.1%
0.8133415671 1
 
< 0.1%
0.8130226498 1
 
< 0.1%
0.8129461802 1
 
< 0.1%
0.8119732555 1
 
< 0.1%
0.8118697375 1
 
< 0.1%
0.8112711485 1
 
< 0.1%
0.8106610299 1
 
< 0.1%
0.8100729529 1
 
< 0.1%
0.8098811062 1
 
< 0.1%

EXT_SOURCE_3
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct729
Distinct (%)1.8%
Missing9904
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean0.51016644
Minimum0.00052726524
Maximum0.8876642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:21.495218image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0.00052726524
5-th percentile0.15380259
Q10.36896874
median0.53527625
Q30.66905669
95-th percentile0.78626661
Maximum0.8876642
Range0.88713694
Interquartile range (IQR)0.30008796

Descriptive statistics

Standard deviation0.19487543
Coefficient of variation (CV)0.38198403
Kurtosis-0.66857367
Mean0.51016644
Median Absolute Deviation (MAD)0.14593746
Skewness-0.40496928
Sum20455.633
Variance0.037976434
MonotonicityNot monotonic
2024-09-01T13:14:21.536944image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.7463002131 242
 
0.5%
0.7136313997 222
 
0.4%
0.5549467685 202
 
0.4%
0.6894791426 196
 
0.4%
0.6940926425 190
 
0.4%
0.6706517531 188
 
0.4%
0.5814837058 184
 
0.4%
0.5954562029 182
 
0.4%
0.7062051097 181
 
0.4%
0.652896552 176
 
0.4%
Other values (719) 38133
76.3%
(Missing) 9904
 
19.8%
ValueCountFrequency (%)
0.0005272652387 142
0.3%
0.01394846558 1
 
< 0.1%
0.01414826552 1
 
< 0.1%
0.02372083083 1
 
< 0.1%
0.02388843609 3
 
< 0.1%
0.02439821254 1
 
< 0.1%
0.02581001068 1
 
< 0.1%
0.02617520693 1
 
< 0.1%
0.02635968594 3
 
< 0.1%
0.02654542968 1
 
< 0.1%
ValueCountFrequency (%)
0.8876642018 1
 
< 0.1%
0.8825303128 6
< 0.1%
0.8802684804 7
< 0.1%
0.878739767 2
 
< 0.1%
0.8771942582 2
 
< 0.1%
0.8748442527 2
 
< 0.1%
0.8692108009 2
 
< 0.1%
0.8667312343 3
 
< 0.1%
0.8658959153 14
< 0.1%
0.8650561757 5
 
< 0.1%

APARTMENTS_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1496
Distinct (%)6.1%
Missing25299
Missing (%)50.6%
Infinite0
Infinite (%)0.0%
Mean0.11729819
Minimum0
Maximum1
Zeros116
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:21.578330image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0082
Q10.0577
median0.0872
Q30.1485
95-th percentile0.3268
Maximum1
Range1
Interquartile range (IQR)0.0908

Descriptive statistics

Standard deviation0.10757251
Coefficient of variation (CV)0.9170859
Kurtosis10.767666
Mean0.11729819
Median Absolute Deviation (MAD)0.0439
Skewness2.5668914
Sum2897.3825
Variance0.011571845
MonotonicityNot monotonic
2024-09-01T13:14:21.620301image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0825 1070
 
2.1%
0.0619 1031
 
2.1%
0.0928 699
 
1.4%
0.0722 621
 
1.2%
0.0082 556
 
1.1%
0.0165 521
 
1.0%
0.1031 473
 
0.9%
0.1485 444
 
0.9%
0.0124 428
 
0.9%
0.1237 380
 
0.8%
Other values (1486) 18478
37.0%
(Missing) 25299
50.6%
ValueCountFrequency (%)
0 116
0.2%
0.001 33
 
0.1%
0.0015 2
 
< 0.1%
0.0021 131
0.3%
0.0026 4
 
< 0.1%
0.0027 1
 
< 0.1%
0.0031 62
 
0.1%
0.0036 2
 
< 0.1%
0.0038 1
 
< 0.1%
0.0041 158
0.3%
ValueCountFrequency (%)
1 21
< 0.1%
0.9876 2
 
< 0.1%
0.9814 2
 
< 0.1%
0.966 1
 
< 0.1%
0.9485 1
 
< 0.1%
0.9247 1
 
< 0.1%
0.9072 1
 
< 0.1%
0.901 1
 
< 0.1%
0.8979 1
 
< 0.1%
0.8938 1
 
< 0.1%

BASEMENTAREA_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2745
Distinct (%)13.2%
Missing29226
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean0.087874781
Minimum0
Maximum1
Zeros2403
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:21.660726image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0443
median0.0764
Q30.1118
95-th percentile0.220535
Maximum1
Range1
Interquartile range (IQR)0.0675

Descriptive statistics

Standard deviation0.081040313
Coefficient of variation (CV)0.92222492
Kurtosis27.001913
Mean0.087874781
Median Absolute Deviation (MAD)0.0338
Skewness3.5813886
Sum1825.5107
Variance0.0065675323
MonotonicityNot monotonic
2024-09-01T13:14:21.702333image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2403
 
4.8%
0.08 48
 
0.1%
0.0818 47
 
0.1%
0.1091 46
 
0.1%
0.0796 45
 
0.1%
0.0764 41
 
0.1%
0.0827 38
 
0.1%
0.0804 37
 
0.1%
0.0845 37
 
0.1%
0.0618 36
 
0.1%
Other values (2735) 17996
36.0%
(Missing) 29226
58.5%
ValueCountFrequency (%)
0 2403
4.8%
0.0001 19
 
< 0.1%
0.0002 9
 
< 0.1%
0.0003 1
 
< 0.1%
0.0004 3
 
< 0.1%
0.0005 12
 
< 0.1%
0.0006 2
 
< 0.1%
0.0007 4
 
< 0.1%
0.0008 5
 
< 0.1%
0.0009 7
 
< 0.1%
ValueCountFrequency (%)
1 23
< 0.1%
0.9677 1
 
< 0.1%
0.9636 1
 
< 0.1%
0.9431 1
 
< 0.1%
0.9397 1
 
< 0.1%
0.9169 1
 
< 0.1%
0.8152 1
 
< 0.1%
0.815 2
 
< 0.1%
0.7924 1
 
< 0.1%
0.7775 1
 
< 0.1%

YEARS_BEGINEXPLUATATION_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct183
Distinct (%)0.7%
Missing24370
Missing (%)48.7%
Infinite0
Infinite (%)0.0%
Mean0.97758044
Minimum0
Maximum1
Zeros83
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:21.743839image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9682
Q10.9767
median0.9816
Q30.9866
95-th percentile0.9955
Maximum1
Range1
Interquartile range (IQR)0.0099

Descriptive statistics

Standard deviation0.05929787
Coefficient of variation (CV)0.060657791
Kurtosis247.60383
Mean0.97758044
Median Absolute Deviation (MAD)0.005
Skewness-15.490496
Sum25055.387
Variance0.0035162374
MonotonicityNot monotonic
2024-09-01T13:14:21.786774image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.9801 714
 
1.4%
0.9871 694
 
1.4%
0.9851 669
 
1.3%
0.9831 664
 
1.3%
0.9791 662
 
1.3%
0.9816 661
 
1.3%
0.9876 661
 
1.3%
0.9861 656
 
1.3%
0.9866 653
 
1.3%
0.9806 650
 
1.3%
Other values (173) 18946
37.9%
(Missing) 24370
48.7%
ValueCountFrequency (%)
0 83
0.2%
0.0179 1
 
< 0.1%
0.0447 1
 
< 0.1%
0.1987 1
 
< 0.1%
0.3224 2
 
< 0.1%
0.3279 1
 
< 0.1%
0.3318 1
 
< 0.1%
0.4759 1
 
< 0.1%
0.4774 1
 
< 0.1%
0.4883 1
 
< 0.1%
ValueCountFrequency (%)
1 26
 
0.1%
0.9995 108
0.2%
0.999 141
0.3%
0.9985 149
0.3%
0.998 164
0.3%
0.9975 175
0.4%
0.997 164
0.3%
0.9965 131
0.3%
0.996 145
0.3%
0.9955 123
0.2%

YEARS_BUILD_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct131
Distinct (%)0.8%
Missing33161
Missing (%)66.3%
Infinite0
Infinite (%)0.0%
Mean0.7511195
Minimum0
Maximum1
Zeros11
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:21.828344image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.592
Q10.6872
median0.7552
Q30.8232
95-th percentile0.9456
Maximum1
Range1
Interquartile range (IQR)0.136

Descriptive statistics

Standard deviation0.11363103
Coefficient of variation (CV)0.15128223
Kurtosis3.9765834
Mean0.7511195
Median Absolute Deviation (MAD)0.068
Skewness-0.92964431
Sum12648.101
Variance0.012912011
MonotonicityNot monotonic
2024-09-01T13:14:21.871717image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.728 488
 
1.0%
0.8232 479
 
1.0%
0.8164 478
 
1.0%
0.83 470
 
0.9%
0.7416 461
 
0.9%
0.8028 456
 
0.9%
0.796 450
 
0.9%
0.7484 448
 
0.9%
0.7144 447
 
0.9%
0.8096 446
 
0.9%
Other values (121) 12216
 
24.4%
(Missing) 33161
66.3%
ValueCountFrequency (%)
0 11
< 0.1%
0.0004 1
 
< 0.1%
0.0072 1
 
< 0.1%
0.014 1
 
< 0.1%
0.0344 1
 
< 0.1%
0.048 1
 
< 0.1%
0.0548 2
 
< 0.1%
0.0752 1
 
< 0.1%
0.082 1
 
< 0.1%
0.0888 1
 
< 0.1%
ValueCountFrequency (%)
1 27
 
0.1%
0.9932 81
0.2%
0.9864 104
0.2%
0.9796 116
0.2%
0.9728 122
0.2%
0.966 118
0.2%
0.9592 125
0.2%
0.9524 111
0.2%
0.9456 109
0.2%
0.9388 96
0.2%

COMMONAREA_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct1968
Distinct (%)13.0%
Missing34890
Missing (%)69.8%
Infinite0
Infinite (%)0.0%
Mean0.044861774
Minimum0
Maximum1
Zeros1417
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:21.913383image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0078
median0.0211
Q30.0509
95-th percentile0.1612
Maximum1
Range1
Interquartile range (IQR)0.0431

Descriptive statistics

Standard deviation0.078389567
Coefficient of variation (CV)1.7473577
Kurtosis46.009941
Mean0.044861774
Median Absolute Deviation (MAD)0.0171
Skewness5.5487561
Sum677.8614
Variance0.0061449243
MonotonicityNot monotonic
2024-09-01T13:14:21.962080image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 1417
 
2.8%
0.0078 78
 
0.2%
0.0079 75
 
0.1%
0.0077 72
 
0.1%
0.008 63
 
0.1%
0.0014 58
 
0.1%
0.0069 58
 
0.1%
0.007 57
 
0.1%
0.0086 56
 
0.1%
0.001 55
 
0.1%
Other values (1958) 13121
 
26.2%
(Missing) 34890
69.8%
ValueCountFrequency (%)
0 1417
2.8%
0.0001 5
 
< 0.1%
0.0002 10
 
< 0.1%
0.0003 14
 
< 0.1%
0.0004 8
 
< 0.1%
0.0005 15
 
< 0.1%
0.0006 23
 
< 0.1%
0.0007 38
 
0.1%
0.0008 12
 
< 0.1%
0.0009 25
 
0.1%
ValueCountFrequency (%)
1 15
< 0.1%
0.9906 1
 
< 0.1%
0.9505 1
 
< 0.1%
0.8855 1
 
< 0.1%
0.8808 2
 
< 0.1%
0.877 1
 
< 0.1%
0.8738 1
 
< 0.1%
0.8603 1
 
< 0.1%
0.8602 1
 
< 0.1%
0.8514 1
 
< 0.1%

ELEVATORS_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct167
Distinct (%)0.7%
Missing26607
Missing (%)53.2%
Infinite0
Infinite (%)0.0%
Mean0.077922045
Minimum0
Maximum1
Zeros14020
Zeros (%)28.0%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:22.003035image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.12
95-th percentile0.36
Maximum1
Range1
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.13304199
Coefficient of variation (CV)1.7073729
Kurtosis7.8598893
Mean0.077922045
Median Absolute Deviation (MAD)0
Skewness2.4337785
Sum1822.8304
Variance0.017700171
MonotonicityNot monotonic
2024-09-01T13:14:22.047326image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 14020
28.0%
0.08 1612
 
3.2%
0.16 1406
 
2.8%
0.24 996
 
2.0%
0.12 922
 
1.8%
0.04 764
 
1.5%
0.2 654
 
1.3%
0.32 444
 
0.9%
0.28 382
 
0.8%
0.4 250
 
0.5%
Other values (157) 1943
 
3.9%
(Missing) 26607
53.2%
ValueCountFrequency (%)
0 14020
28.0%
0.0024 1
 
< 0.1%
0.0064 1
 
< 0.1%
0.008 4
 
< 0.1%
0.01 3
 
< 0.1%
0.0112 1
 
< 0.1%
0.0132 14
 
< 0.1%
0.0148 2
 
< 0.1%
0.0152 1
 
< 0.1%
0.016 10
 
< 0.1%
ValueCountFrequency (%)
1 21
< 0.1%
0.96 13
< 0.1%
0.92 5
 
< 0.1%
0.88 13
< 0.1%
0.84 8
 
< 0.1%
0.808 1
 
< 0.1%
0.8 21
< 0.1%
0.78 1
 
< 0.1%
0.76 5
 
< 0.1%
0.72 32
0.1%

ENTRANCES_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct184
Distinct (%)0.7%
Missing25157
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean0.14973069
Minimum0
Maximum1
Zeros49
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:22.088499image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0345
Q10.069
median0.1379
Q30.2069
95-th percentile0.3103
Maximum1
Range1
Interquartile range (IQR)0.1379

Descriptive statistics

Standard deviation0.1008279
Coefficient of variation (CV)0.67339501
Kurtosis12.348329
Mean0.14973069
Median Absolute Deviation (MAD)0.0689
Skewness2.4791469
Sum3719.7596
Variance0.010166266
MonotonicityNot monotonic
2024-09-01T13:14:22.131111image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.1379 5508
 
11.0%
0.069 3707
 
7.4%
0.1034 3151
 
6.3%
0.2069 3093
 
6.2%
0.0345 2553
 
5.1%
0.1724 1500
 
3.0%
0.2759 1288
 
2.6%
0.2414 707
 
1.4%
0.3448 340
 
0.7%
0.3103 326
 
0.7%
Other values (174) 2670
 
5.3%
(Missing) 25157
50.3%
ValueCountFrequency (%)
0 49
 
0.1%
0.0114 1
 
< 0.1%
0.0172 1
 
< 0.1%
0.0345 2553
5.1%
0.0372 1
 
< 0.1%
0.0383 1
 
< 0.1%
0.0407 1
 
< 0.1%
0.0414 1
 
< 0.1%
0.0431 8
 
< 0.1%
0.0459 17
 
< 0.1%
ValueCountFrequency (%)
1 30
0.1%
0.9655 3
 
< 0.1%
0.931 2
 
< 0.1%
0.8966 11
 
< 0.1%
0.8621 3
 
< 0.1%
0.8276 6
 
< 0.1%
0.7931 9
 
< 0.1%
0.7586 12
 
< 0.1%
0.7241 8
 
< 0.1%
0.6897 19
< 0.1%

FLOORSMAX_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct230
Distinct (%)0.9%
Missing24840
Missing (%)49.7%
Infinite0
Infinite (%)0.0%
Mean0.22526822
Minimum0
Maximum1
Zeros493
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:22.173388image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.1667
median0.1667
Q30.3333
95-th percentile0.4721
Maximum1
Range1
Interquartile range (IQR)0.1666

Descriptive statistics

Standard deviation0.14396413
Coefficient of variation (CV)0.63907874
Kurtosis2.4671514
Mean0.22526822
Median Absolute Deviation (MAD)0.0834
Skewness1.2320522
Sum5667.7485
Variance0.020725672
MonotonicityNot monotonic
2024-09-01T13:14:22.215377image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.1667 10095
20.2%
0.3333 5156
 
10.3%
0.0417 2377
 
4.8%
0.375 1317
 
2.6%
0.125 1153
 
2.3%
0.0833 1063
 
2.1%
0 493
 
1.0%
0.4583 441
 
0.9%
0.25 301
 
0.6%
0.5417 292
 
0.6%
Other values (220) 2472
 
4.9%
(Missing) 24840
49.7%
ValueCountFrequency (%)
0 493
 
1.0%
0.0083 1
 
< 0.1%
0.0104 2
 
< 0.1%
0.0138 3
 
< 0.1%
0.0208 17
 
< 0.1%
0.0275 5
 
< 0.1%
0.0283 1
 
< 0.1%
0.0312 2
 
< 0.1%
0.0417 2377
4.8%
0.0479 2
 
< 0.1%
ValueCountFrequency (%)
1 22
< 0.1%
0.9792 1
 
< 0.1%
0.9583 15
< 0.1%
0.9375 1
 
< 0.1%
0.9304 1
 
< 0.1%
0.9167 5
 
< 0.1%
0.8992 1
 
< 0.1%
0.8958 1
 
< 0.1%
0.875 33
0.1%
0.8333 7
 
< 0.1%

FLOORSMIN_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct171
Distinct (%)1.1%
Missing33864
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean0.23083572
Minimum0
Maximum1
Zeros361
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:22.256885image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.0833
median0.2083
Q30.375
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.2917

Descriptive statistics

Standard deviation0.16065906
Coefficient of variation (CV)0.69598872
Kurtosis1.3116247
Mean0.23083572
Median Absolute Deviation (MAD)0.1459
Skewness0.95009187
Sum3724.7651
Variance0.025811332
MonotonicityNot monotonic
2024-09-01T13:14:22.298899image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.2083 5389
 
10.8%
0.0417 2963
 
5.9%
0.375 2841
 
5.7%
0.0833 821
 
1.6%
0.4167 683
 
1.4%
0.1667 607
 
1.2%
0.125 503
 
1.0%
0 361
 
0.7%
0.5 275
 
0.5%
0.6667 183
 
0.4%
Other values (161) 1510
 
3.0%
(Missing) 33864
67.7%
ValueCountFrequency (%)
0 361
 
0.7%
0.0158 1
 
< 0.1%
0.0208 9
 
< 0.1%
0.025 1
 
< 0.1%
0.0275 2
 
< 0.1%
0.0312 1
 
< 0.1%
0.0417 2963
5.9%
0.0458 1
 
< 0.1%
0.0533 3
 
< 0.1%
0.0554 3
 
< 0.1%
ValueCountFrequency (%)
1 20
< 0.1%
0.9792 1
 
< 0.1%
0.9583 2
 
< 0.1%
0.9408 1
 
< 0.1%
0.9167 17
< 0.1%
0.875 3
 
< 0.1%
0.8542 2
 
< 0.1%
0.8333 8
 
< 0.1%
0.8125 3
 
< 0.1%
0.7917 12
< 0.1%

LANDAREA_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2498
Distinct (%)12.3%
Missing29637
Missing (%)59.3%
Infinite0
Infinite (%)0.0%
Mean0.065621117
Minimum0
Maximum1
Zeros2543
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:22.339739image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0185
median0.0475
Q30.085
95-th percentile0.1913
Maximum1
Range1
Interquartile range (IQR)0.0665

Descriptive statistics

Standard deviation0.080822829
Coefficient of variation (CV)1.2316588
Kurtosis37.109944
Mean0.065621117
Median Absolute Deviation (MAD)0.0319
Skewness4.600682
Sum1336.2428
Variance0.0065323297
MonotonicityNot monotonic
2024-09-01T13:14:22.382080image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2543
 
5.1%
0.0174 42
 
0.1%
0.0142 41
 
0.1%
0.0316 37
 
0.1%
0.0458 36
 
0.1%
0.0237 35
 
0.1%
0.0197 34
 
0.1%
0.0208 33
 
0.1%
0.0221 33
 
0.1%
0.0145 33
 
0.1%
Other values (2488) 17496
35.0%
(Missing) 29637
59.3%
ValueCountFrequency (%)
0 2543
5.1%
0.0001 2
 
< 0.1%
0.0002 3
 
< 0.1%
0.0004 3
 
< 0.1%
0.0006 3
 
< 0.1%
0.0007 2
 
< 0.1%
0.0008 2
 
< 0.1%
0.0009 2
 
< 0.1%
0.0011 2
 
< 0.1%
0.0012 6
 
< 0.1%
ValueCountFrequency (%)
1 26
0.1%
0.9829 2
 
< 0.1%
0.969 1
 
< 0.1%
0.9497 1
 
< 0.1%
0.8947 2
 
< 0.1%
0.8638 1
 
< 0.1%
0.8556 1
 
< 0.1%
0.8231 1
 
< 0.1%
0.783 1
 
< 0.1%
0.769 1
 
< 0.1%

LIVINGAPARTMENTS_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1154
Distinct (%)7.3%
Missing34114
Missing (%)68.2%
Infinite0
Infinite (%)0.0%
Mean0.10049588
Minimum0
Maximum1
Zeros55
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:22.424122image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0101
Q10.0504
median0.0756
Q30.121
95-th percentile0.2732
Maximum1
Range1
Interquartile range (IQR)0.0706

Descriptive statistics

Standard deviation0.090863027
Coefficient of variation (CV)0.90414682
Kurtosis14.684183
Mean0.10049588
Median Absolute Deviation (MAD)0.0327
Skewness2.8793395
Sum1596.4775
Variance0.0082560897
MonotonicityNot monotonic
2024-09-01T13:14:22.465954image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0672 694
 
1.4%
0.0504 688
 
1.4%
0.0756 446
 
0.9%
0.0588 399
 
0.8%
0.0841 301
 
0.6%
0.0067 265
 
0.5%
0.121 261
 
0.5%
0.0605 244
 
0.5%
0.0134 241
 
0.5%
0.1009 238
 
0.5%
Other values (1144) 12109
 
24.2%
(Missing) 34114
68.2%
ValueCountFrequency (%)
0 55
0.1%
0.0008 18
 
< 0.1%
0.0017 36
0.1%
0.0025 14
 
< 0.1%
0.0031 1
 
< 0.1%
0.0034 67
0.1%
0.0042 24
 
< 0.1%
0.0045 1
 
< 0.1%
0.005 38
0.1%
0.0055 1
 
< 0.1%
ValueCountFrequency (%)
1 10
< 0.1%
0.9994 1
 
< 0.1%
0.9901 1
 
< 0.1%
0.949 1
 
< 0.1%
0.9153 1
 
< 0.1%
0.8388 2
 
< 0.1%
0.8338 1
 
< 0.1%
0.8271 1
 
< 0.1%
0.78 2
 
< 0.1%
0.7296 2
 
< 0.1%

LIVINGAREA_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct3740
Distinct (%)15.0%
Missing25041
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean0.10654981
Minimum0
Maximum1
Zeros45
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:22.506317image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0081
Q10.0445
median0.0743
Q30.1292
95-th percentile0.3175
Maximum1
Range1
Interquartile range (IQR)0.0847

Descriptive statistics

Standard deviation0.1091093
Coefficient of variation (CV)1.0240216
Kurtosis12.120424
Mean0.10654981
Median Absolute Deviation (MAD)0.0392
Skewness2.8191158
Sum2659.3766
Variance0.011904839
MonotonicityNot monotonic
2024-09-01T13:14:22.549170image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 45
 
0.1%
0.0702 39
 
0.1%
0.0525 38
 
0.1%
0.0696 38
 
0.1%
0.0641 37
 
0.1%
0.0146 37
 
0.1%
0.0639 37
 
0.1%
0.0539 37
 
0.1%
0.0507 36
 
0.1%
0.0513 36
 
0.1%
Other values (3730) 24579
49.2%
(Missing) 25041
50.1%
ValueCountFrequency (%)
0 45
0.1%
0.0003 2
 
< 0.1%
0.0004 2
 
< 0.1%
0.0005 4
 
< 0.1%
0.0006 5
 
< 0.1%
0.0007 2
 
< 0.1%
0.0008 5
 
< 0.1%
0.0009 7
 
< 0.1%
0.001 5
 
< 0.1%
0.0011 11
 
< 0.1%
ValueCountFrequency (%)
1 26
0.1%
0.9756 2
 
< 0.1%
0.9523 1
 
< 0.1%
0.9033 1
 
< 0.1%
0.9025 2
 
< 0.1%
0.8941 2
 
< 0.1%
0.8888 1
 
< 0.1%
0.8872 1
 
< 0.1%
0.8653 1
 
< 0.1%
0.8597 2
 
< 0.1%

NONLIVINGAPARTMENTS_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct196
Distinct (%)1.3%
Missing34631
Missing (%)69.3%
Infinite0
Infinite (%)0.0%
Mean0.0086120958
Minimum0
Maximum1
Zeros8919
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:22.590634image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0051
95-th percentile0.0309
Maximum1
Range1
Interquartile range (IQR)0.0051

Descriptive statistics

Standard deviation0.046222614
Coefficient of variation (CV)5.3671738
Kurtosis294.68135
Mean0.0086120958
Median Absolute Deviation (MAD)0
Skewness15.813678
Sum132.3593
Variance0.0021365301
MonotonicityNot monotonic
2024-09-01T13:14:22.633994image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 8919
 
17.8%
0.0039 2199
 
4.4%
0.0077 1045
 
2.1%
0.0116 632
 
1.3%
0.0154 415
 
0.8%
0.0193 307
 
0.6%
0.0232 201
 
0.4%
0.0019 192
 
0.4%
0.027 158
 
0.3%
0.0309 139
 
0.3%
Other values (186) 1162
 
2.3%
(Missing) 34631
69.3%
ValueCountFrequency (%)
0 8919
17.8%
0.0002 1
 
< 0.1%
0.0004 3
 
< 0.1%
0.0005 1
 
< 0.1%
0.0006 5
 
< 0.1%
0.0008 12
 
< 0.1%
0.0009 1
 
< 0.1%
0.001 15
 
< 0.1%
0.0011 1
 
< 0.1%
0.0013 51
 
0.1%
ValueCountFrequency (%)
1 10
< 0.1%
0.9923 1
 
< 0.1%
0.973 2
 
< 0.1%
0.9556 1
 
< 0.1%
0.9459 1
 
< 0.1%
0.9344 1
 
< 0.1%
0.9266 3
 
< 0.1%
0.8842 1
 
< 0.1%
0.8803 1
 
< 0.1%
0.7722 2
 
< 0.1%

NONLIVINGAREA_AVG
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct1971
Distinct (%)8.7%
Missing27437
Missing (%)54.9%
Infinite0
Infinite (%)0.0%
Mean0.028266011
Minimum0
Maximum1
Zeros9574
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:22.678437image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0037
Q30.0278
95-th percentile0.1262
Maximum1
Range1
Interquartile range (IQR)0.0278

Descriptive statistics

Standard deviation0.069040999
Coefficient of variation (CV)2.4425449
Kurtosis68.19613
Mean0.028266011
Median Absolute Deviation (MAD)0.0037
Skewness6.7152861
Sum637.766
Variance0.0047666596
MonotonicityNot monotonic
2024-09-01T13:14:22.722562image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 9574
 
19.1%
0.0012 83
 
0.2%
0.0036 77
 
0.2%
0.0044 75
 
0.1%
0.0046 71
 
0.1%
0.0011 70
 
0.1%
0.0042 69
 
0.1%
0.001 67
 
0.1%
0.0022 66
 
0.1%
0.0052 65
 
0.1%
Other values (1961) 12346
24.7%
(Missing) 27437
54.9%
ValueCountFrequency (%)
0 9574
19.1%
0.0001 27
 
0.1%
0.0002 23
 
< 0.1%
0.0003 19
 
< 0.1%
0.0004 28
 
0.1%
0.0005 25
 
0.1%
0.0006 33
 
0.1%
0.0007 25
 
0.1%
0.0008 37
 
0.1%
0.0009 51
 
0.1%
ValueCountFrequency (%)
1 22
< 0.1%
0.9591 1
 
< 0.1%
0.9558 3
 
< 0.1%
0.9556 1
 
< 0.1%
0.8825 1
 
< 0.1%
0.8651 1
 
< 0.1%
0.8572 1
 
< 0.1%
0.8556 1
 
< 0.1%
0.8213 1
 
< 0.1%
0.8141 2
 
< 0.1%

APARTMENTS_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct630
Distinct (%)2.6%
Missing25299
Missing (%)50.6%
Infinite0
Infinite (%)0.0%
Mean0.11451008
Minimum0
Maximum1
Zeros162
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:22.765784image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0084
Q10.0515
median0.084
Q30.146
95-th percentile0.3204
Maximum1
Range1
Interquartile range (IQR)0.0945

Descriptive statistics

Standard deviation0.10793546
Coefficient of variation (CV)0.94258482
Kurtosis11.161187
Mean0.11451008
Median Absolute Deviation (MAD)0.0421
Skewness2.6376088
Sum2828.5134
Variance0.011650064
MonotonicityNot monotonic
2024-09-01T13:14:22.807601image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.084 1220
 
2.4%
0.063 1208
 
2.4%
0.0945 765
 
1.5%
0.0735 690
 
1.4%
0.0084 636
 
1.3%
0.0168 576
 
1.2%
0.105 515
 
1.0%
0.0126 481
 
1.0%
0.0756 477
 
1.0%
0.1513 475
 
0.9%
Other values (620) 17658
35.3%
(Missing) 25299
50.6%
ValueCountFrequency (%)
0 162
 
0.3%
0.0011 49
 
0.1%
0.0021 166
 
0.3%
0.0032 70
 
0.1%
0.0042 179
 
0.4%
0.0053 57
 
0.1%
0.0063 74
 
0.1%
0.0074 46
 
0.1%
0.0084 636
1.3%
0.0095 48
 
0.1%
ValueCountFrequency (%)
1 23
< 0.1%
0.9842 1
 
< 0.1%
0.9664 1
 
< 0.1%
0.9422 1
 
< 0.1%
0.9244 1
 
< 0.1%
0.9181 1
 
< 0.1%
0.9149 1
 
< 0.1%
0.9107 1
 
< 0.1%
0.9055 1
 
< 0.1%
0.8992 1
 
< 0.1%

BASEMENTAREA_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2779
Distinct (%)13.4%
Missing29226
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean0.087153139
Minimum0
Maximum1
Zeros2704
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:22.848343image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0408
median0.0743
Q30.1124
95-th percentile0.224335
Maximum1
Range1
Interquartile range (IQR)0.0716

Descriptive statistics

Standard deviation0.08307589
Coefficient of variation (CV)0.95321742
Kurtosis25.215785
Mean0.087153139
Median Absolute Deviation (MAD)0.0359
Skewness3.4835934
Sum1810.5193
Variance0.0069016035
MonotonicityNot monotonic
2024-09-01T13:14:22.888889image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2704
 
5.4%
0.0642 51
 
0.1%
0.0849 49
 
0.1%
0.1132 47
 
0.1%
0.083 46
 
0.1%
0.0826 44
 
0.1%
0.0792 42
 
0.1%
0.0858 41
 
0.1%
0.0808 39
 
0.1%
0.0679 36
 
0.1%
Other values (2769) 17675
35.4%
(Missing) 29226
58.5%
ValueCountFrequency (%)
0 2704
5.4%
0.0001 26
 
0.1%
0.0002 5
 
< 0.1%
0.0003 2
 
< 0.1%
0.0004 3
 
< 0.1%
0.0005 10
 
< 0.1%
0.0006 9
 
< 0.1%
0.0007 1
 
< 0.1%
0.0008 3
 
< 0.1%
0.0009 6
 
< 0.1%
ValueCountFrequency (%)
1 24
< 0.1%
0.991 1
 
< 0.1%
0.9787 1
 
< 0.1%
0.9515 1
 
< 0.1%
0.8459 1
 
< 0.1%
0.8457 2
 
< 0.1%
0.8223 1
 
< 0.1%
0.8068 1
 
< 0.1%
0.7548 1
 
< 0.1%
0.7498 2
 
< 0.1%

YEARS_BEGINEXPLUATATION_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct164
Distinct (%)0.6%
Missing24370
Missing (%)48.7%
Infinite0
Infinite (%)0.0%
Mean0.97691325
Minimum0
Maximum1
Zeros34
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:22.930894image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9682
Q10.9762
median0.9816
Q30.9866
95-th percentile0.9955
Maximum1
Range1
Interquartile range (IQR)0.0104

Descriptive statistics

Standard deviation0.064572896
Coefficient of variation (CV)0.066098906
Kurtosis219.34523
Mean0.97691325
Median Absolute Deviation (MAD)0.005
Skewness-14.72765
Sum25038.287
Variance0.0041696589
MonotonicityNot monotonic
2024-09-01T13:14:22.973765image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.9801 691
 
1.4%
0.9791 686
 
1.4%
0.9866 678
 
1.4%
0.9871 673
 
1.3%
0.9876 670
 
1.3%
0.9806 664
 
1.3%
0.9851 654
 
1.3%
0.9816 649
 
1.3%
0.9796 645
 
1.3%
0.9782 644
 
1.3%
Other values (154) 18976
38.0%
(Missing) 24370
48.7%
ValueCountFrequency (%)
0 34
0.1%
0.0005 73
0.1%
0.0184 1
 
< 0.1%
0.0452 1
 
< 0.1%
0.4518 1
 
< 0.1%
0.5452 1
 
< 0.1%
0.5943 1
 
< 0.1%
0.8401 1
 
< 0.1%
0.8823 1
 
< 0.1%
0.8937 1
 
< 0.1%
ValueCountFrequency (%)
1 31
 
0.1%
0.9995 107
0.2%
0.999 148
0.3%
0.9985 147
0.3%
0.998 162
0.3%
0.9975 183
0.4%
0.997 163
0.3%
0.9965 137
0.3%
0.996 145
0.3%
0.9955 123
0.2%

YEARS_BUILD_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct132
Distinct (%)0.8%
Missing33161
Missing (%)66.3%
Infinite0
Infinite (%)0.0%
Mean0.75838865
Minimum0
Maximum1
Zeros13
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:23.015725image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6014
Q10.6994
median0.7583
Q30.8236
95-th percentile0.9477
Maximum1
Range1
Interquartile range (IQR)0.1242

Descriptive statistics

Standard deviation0.11031371
Coefficient of variation (CV)0.14545801
Kurtosis4.3322042
Mean0.75838865
Median Absolute Deviation (MAD)0.0653
Skewness-0.96667295
Sum12770.506
Variance0.012169114
MonotonicityNot monotonic
2024-09-01T13:14:23.059531image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.8236 482
 
1.0%
0.8367 477
 
1.0%
0.7387 473
 
0.9%
0.8301 461
 
0.9%
0.7256 457
 
0.9%
0.7517 450
 
0.9%
0.804 446
 
0.9%
0.7125 446
 
0.9%
0.8171 444
 
0.9%
0.7583 442
 
0.9%
Other values (122) 12261
 
24.5%
(Missing) 33161
66.3%
ValueCountFrequency (%)
0 13
< 0.1%
0.0265 1
 
< 0.1%
0.0395 1
 
< 0.1%
0.0461 1
 
< 0.1%
0.0526 1
 
< 0.1%
0.0722 1
 
< 0.1%
0.0918 1
 
< 0.1%
0.1114 1
 
< 0.1%
0.1245 1
 
< 0.1%
0.131 1
 
< 0.1%
ValueCountFrequency (%)
1 29
 
0.1%
0.9935 82
0.2%
0.9869 103
0.2%
0.9804 115
0.2%
0.9739 121
0.2%
0.9673 119
0.2%
0.9608 128
0.3%
0.9543 111
0.2%
0.9477 107
0.2%
0.9412 95
0.2%

COMMONAREA_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct1947
Distinct (%)12.9%
Missing34890
Missing (%)69.8%
Infinite0
Infinite (%)0.0%
Mean0.042886426
Minimum0
Maximum1
Zeros1614
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:23.102904image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0072
median0.0191
Q30.049
95-th percentile0.154155
Maximum1
Range1
Interquartile range (IQR)0.0418

Descriptive statistics

Standard deviation0.076899531
Coefficient of variation (CV)1.7930972
Kurtosis49.64924
Mean0.042886426
Median Absolute Deviation (MAD)0.0164
Skewness5.7501057
Sum648.0139
Variance0.0059135378
MonotonicityNot monotonic
2024-09-01T13:14:23.145090image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 1614
 
3.2%
0.0078 85
 
0.2%
0.0079 83
 
0.2%
0.008 77
 
0.2%
0.007 66
 
0.1%
0.0014 64
 
0.1%
0.0081 62
 
0.1%
0.0012 59
 
0.1%
0.0071 58
 
0.1%
0.0087 55
 
0.1%
Other values (1937) 12887
 
25.8%
(Missing) 34890
69.8%
ValueCountFrequency (%)
0 1614
3.2%
0.0001 7
 
< 0.1%
0.0002 8
 
< 0.1%
0.0003 12
 
< 0.1%
0.0004 9
 
< 0.1%
0.0005 14
 
< 0.1%
0.0006 24
 
< 0.1%
0.0007 36
 
0.1%
0.0008 18
 
< 0.1%
0.0009 27
 
0.1%
ValueCountFrequency (%)
1 15
< 0.1%
0.9997 1
 
< 0.1%
0.9591 1
 
< 0.1%
0.8936 1
 
< 0.1%
0.8889 2
 
< 0.1%
0.885 1
 
< 0.1%
0.8818 1
 
< 0.1%
0.8682 1
 
< 0.1%
0.868 1
 
< 0.1%
0.8581 1
 
< 0.1%

ELEVATORS_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct26
Distinct (%)0.1%
Missing26607
Missing (%)53.2%
Infinite0
Infinite (%)0.0%
Mean0.07367026
Minimum0
Maximum1
Zeros14631
Zeros (%)29.3%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:23.195166image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1208
95-th percentile0.3222
Maximum1
Range1
Interquartile range (IQR)0.1208

Descriptive statistics

Standard deviation0.13101257
Coefficient of variation (CV)1.7783645
Kurtosis8.7063117
Mean0.07367026
Median Absolute Deviation (MAD)0
Skewness2.5581621
Sum1723.3684
Variance0.017164294
MonotonicityNot monotonic
2024-09-01T13:14:23.238710image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 14631
29.3%
0.0806 1867
 
3.7%
0.1611 1540
 
3.1%
0.2417 1031
 
2.1%
0.1208 950
 
1.9%
0.0403 798
 
1.6%
0.2014 662
 
1.3%
0.3222 459
 
0.9%
0.282 367
 
0.7%
0.4028 241
 
0.5%
Other values (16) 847
 
1.7%
(Missing) 26607
53.2%
ValueCountFrequency (%)
0 14631
29.3%
0.0403 798
 
1.6%
0.0806 1867
 
3.7%
0.1208 950
 
1.9%
0.1611 1540
 
3.1%
0.2014 662
 
1.3%
0.2417 1031
 
2.1%
0.282 367
 
0.7%
0.3222 459
 
0.9%
0.3625 226
 
0.5%
ValueCountFrequency (%)
1 19
 
< 0.1%
0.9667 15
 
< 0.1%
0.9264 5
 
< 0.1%
0.8862 13
 
< 0.1%
0.8459 8
 
< 0.1%
0.8056 23
 
< 0.1%
0.7653 5
 
< 0.1%
0.725 31
0.1%
0.6848 14
 
< 0.1%
0.6445 67
0.1%

ENTRANCES_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct30
Distinct (%)0.1%
Missing25157
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean0.14528754
Minimum0
Maximum1
Zeros56
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:23.281152image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0345
Q10.069
median0.1379
Q30.2069
95-th percentile0.3103
Maximum1
Range1
Interquartile range (IQR)0.1379

Descriptive statistics

Standard deviation0.10154792
Coefficient of variation (CV)0.69894446
Kurtosis12.078336
Mean0.14528754
Median Absolute Deviation (MAD)0.0689
Skewness2.4590441
Sum3609.3783
Variance0.01031198
MonotonicityNot monotonic
2024-09-01T13:14:23.323513image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.1379 5837
 
11.7%
0.069 4331
 
8.7%
0.1034 3331
 
6.7%
0.2069 3197
 
6.4%
0.0345 3193
 
6.4%
0.1724 1468
 
2.9%
0.2759 1315
 
2.6%
0.2414 677
 
1.4%
0.3448 342
 
0.7%
0.3103 330
 
0.7%
Other values (20) 822
 
1.6%
(Missing) 25157
50.3%
ValueCountFrequency (%)
0 56
 
0.1%
0.0345 3193
6.4%
0.069 4331
8.7%
0.1034 3331
6.7%
0.1379 5837
11.7%
0.1724 1468
 
2.9%
0.2069 3197
6.4%
0.2414 677
 
1.4%
0.2759 1315
 
2.6%
0.3103 330
 
0.7%
ValueCountFrequency (%)
1 29
0.1%
0.9655 3
 
< 0.1%
0.931 2
 
< 0.1%
0.8966 11
 
< 0.1%
0.8621 3
 
< 0.1%
0.8276 6
 
< 0.1%
0.7931 9
 
< 0.1%
0.7586 12
< 0.1%
0.7241 8
 
< 0.1%
0.6897 19
< 0.1%

FLOORSMAX_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct25
Distinct (%)0.1%
Missing24840
Missing (%)49.7%
Infinite0
Infinite (%)0.0%
Mean0.22153911
Minimum0
Maximum1
Zeros563
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:23.364497image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.1667
median0.1667
Q30.3333
95-th percentile0.4583
Maximum1
Range1
Interquartile range (IQR)0.1666

Descriptive statistics

Standard deviation0.1433244
Coefficient of variation (CV)0.64694853
Kurtosis2.5661915
Mean0.22153911
Median Absolute Deviation (MAD)0.0834
Skewness1.2518016
Sum5573.924
Variance0.020541884
MonotonicityNot monotonic
2024-09-01T13:14:23.405832image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.1667 10685
21.4%
0.3333 5543
 
11.1%
0.0417 2550
 
5.1%
0.375 1379
 
2.8%
0.125 1206
 
2.4%
0.0833 1108
 
2.2%
0 563
 
1.1%
0.4583 504
 
1.0%
0.5417 315
 
0.6%
0.625 302
 
0.6%
Other values (15) 1005
 
2.0%
(Missing) 24840
49.7%
ValueCountFrequency (%)
0 563
 
1.1%
0.0417 2550
 
5.1%
0.0833 1108
 
2.2%
0.125 1206
 
2.4%
0.1667 10685
21.4%
0.2083 248
 
0.5%
0.25 120
 
0.2%
0.2917 73
 
0.1%
0.3333 5543
11.1%
0.375 1379
 
2.8%
ValueCountFrequency (%)
1 23
 
< 0.1%
0.9583 16
 
< 0.1%
0.9167 6
 
< 0.1%
0.875 38
 
0.1%
0.8333 6
 
< 0.1%
0.7917 14
 
< 0.1%
0.75 24
 
< 0.1%
0.7083 32
 
0.1%
0.6667 291
0.6%
0.625 302
0.6%

FLOORSMIN_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct25
Distinct (%)0.2%
Missing33864
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean0.22730042
Minimum0
Maximum1
Zeros394
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:23.446752image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.0833
median0.2083
Q30.375
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.2917

Descriptive statistics

Standard deviation0.16042849
Coefficient of variation (CV)0.70579935
Kurtosis1.3029284
Mean0.22730042
Median Absolute Deviation (MAD)0.1666
Skewness0.95748479
Sum3667.7195
Variance0.025737299
MonotonicityNot monotonic
2024-09-01T13:14:23.489702image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.2083 5640
 
11.3%
0.0417 3125
 
6.2%
0.375 3029
 
6.1%
0.0833 869
 
1.7%
0.4167 703
 
1.4%
0.1667 624
 
1.2%
0.125 484
 
1.0%
0 394
 
0.8%
0.5 304
 
0.6%
0.6667 197
 
0.4%
Other values (15) 767
 
1.5%
(Missing) 33864
67.7%
ValueCountFrequency (%)
0 394
 
0.8%
0.0417 3125
6.2%
0.0833 869
 
1.7%
0.125 484
 
1.0%
0.1667 624
 
1.2%
0.2083 5640
11.3%
0.25 134
 
0.3%
0.2917 73
 
0.1%
0.3333 49
 
0.1%
0.375 3029
6.1%
ValueCountFrequency (%)
1 18
 
< 0.1%
0.9583 3
 
< 0.1%
0.9167 20
 
< 0.1%
0.875 3
 
< 0.1%
0.8333 6
 
< 0.1%
0.7917 11
 
< 0.1%
0.75 18
 
< 0.1%
0.7083 187
0.4%
0.6667 197
0.4%
0.625 29
 
0.1%

LANDAREA_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2504
Distinct (%)12.3%
Missing29637
Missing (%)59.3%
Infinite0
Infinite (%)0.0%
Mean0.064513525
Minimum0
Maximum1
Zeros2849
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:23.531293image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0164
median0.0451
Q30.08395
95-th percentile0.1936
Maximum1
Range1
Interquartile range (IQR)0.06755

Descriptive statistics

Standard deviation0.081953631
Coefficient of variation (CV)1.2703326
Kurtosis35.490767
Mean0.064513525
Median Absolute Deviation (MAD)0.0317
Skewness4.5273425
Sum1313.6889
Variance0.0067163976
MonotonicityNot monotonic
2024-09-01T13:14:23.787182image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2849
 
5.7%
0.0242 39
 
0.1%
0.0323 38
 
0.1%
0.0299 38
 
0.1%
0.0145 37
 
0.1%
0.0111 35
 
0.1%
0.0194 33
 
0.1%
0.0387 33
 
0.1%
0.0147 33
 
0.1%
0.0258 32
 
0.1%
Other values (2494) 17196
34.4%
(Missing) 29637
59.3%
ValueCountFrequency (%)
0 2849
5.7%
0.0001 3
 
< 0.1%
0.0002 3
 
< 0.1%
0.0004 3
 
< 0.1%
0.0006 3
 
< 0.1%
0.0007 2
 
< 0.1%
0.0008 2
 
< 0.1%
0.001 2
 
< 0.1%
0.0011 1
 
< 0.1%
0.0012 3
 
< 0.1%
ValueCountFrequency (%)
1 26
0.1%
0.9911 1
 
< 0.1%
0.9714 1
 
< 0.1%
0.9152 2
 
< 0.1%
0.8835 1
 
< 0.1%
0.8751 1
 
< 0.1%
0.8419 1
 
< 0.1%
0.8008 1
 
< 0.1%
0.7866 1
 
< 0.1%
0.7745 1
 
< 0.1%

LIVINGAPARTMENTS_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct589
Distinct (%)3.7%
Missing34114
Missing (%)68.2%
Infinite0
Infinite (%)0.0%
Mean0.10565108
Minimum0
Maximum1
Zeros75
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:23.829195image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.011
Q10.0542
median0.0771
Q30.1313
95-th percentile0.2938
Maximum1
Range1
Interquartile range (IQR)0.0771

Descriptive statistics

Standard deviation0.096846822
Coefficient of variation (CV)0.91666668
Kurtosis12.724514
Mean0.10565108
Median Absolute Deviation (MAD)0.0339
Skewness2.7731026
Sum1678.373
Variance0.0093793069
MonotonicityNot monotonic
2024-09-01T13:14:23.873131image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0551 800
 
1.6%
0.0735 789
 
1.6%
0.0826 480
 
1.0%
0.0643 442
 
0.9%
0.0918 330
 
0.7%
0.0661 312
 
0.6%
0.0073 294
 
0.6%
0.1322 279
 
0.6%
0.0147 265
 
0.5%
0.0588 245
 
0.5%
Other values (579) 11650
 
23.3%
(Missing) 34114
68.2%
ValueCountFrequency (%)
0 75
 
0.1%
0.0009 23
 
< 0.1%
0.0018 40
 
0.1%
0.0028 17
 
< 0.1%
0.0037 75
 
0.1%
0.0046 26
 
0.1%
0.0055 41
 
0.1%
0.0064 22
 
< 0.1%
0.0073 294
0.6%
0.0083 23
 
< 0.1%
ValueCountFrequency (%)
1 11
< 0.1%
0.9164 2
 
< 0.1%
0.9109 1
 
< 0.1%
0.9036 1
 
< 0.1%
0.8522 2
 
< 0.1%
0.7971 2
 
< 0.1%
0.7961 1
 
< 0.1%
0.7796 1
 
< 0.1%
0.7521 1
 
< 0.1%
0.7383 1
 
< 0.1%

LIVINGAREA_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct3754
Distinct (%)15.0%
Missing25041
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean0.10540441
Minimum0
Maximum1
Zeros75
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:23.915859image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0077
Q10.0419
median0.073
Q30.1252
95-th percentile0.3202
Maximum1
Range1
Interquartile range (IQR)0.0833

Descriptive statistics

Standard deviation0.1111268
Coefficient of variation (CV)1.0542898
Kurtosis12.38963
Mean0.10540441
Median Absolute Deviation (MAD)0.0398
Skewness2.8878826
Sum2630.7886
Variance0.012349165
MonotonicityNot monotonic
2024-09-01T13:14:23.958165image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 75
 
0.1%
0.0726 47
 
0.1%
0.0529 45
 
0.1%
0.0548 42
 
0.1%
0.0535 40
 
0.1%
0.0533 40
 
0.1%
0.0076 39
 
0.1%
0.053 38
 
0.1%
0.0532 38
 
0.1%
0.0731 37
 
0.1%
Other values (3744) 24518
49.0%
(Missing) 25041
50.1%
ValueCountFrequency (%)
0 75
0.1%
0.0003 2
 
< 0.1%
0.0004 3
 
< 0.1%
0.0005 4
 
< 0.1%
0.0006 4
 
< 0.1%
0.0007 8
 
< 0.1%
0.0008 7
 
< 0.1%
0.0009 6
 
< 0.1%
0.001 12
 
< 0.1%
0.0011 15
 
< 0.1%
ValueCountFrequency (%)
1 25
0.1%
0.9922 1
 
< 0.1%
0.9412 1
 
< 0.1%
0.9403 2
 
< 0.1%
0.9315 2
 
< 0.1%
0.926 1
 
< 0.1%
0.9244 1
 
< 0.1%
0.9015 1
 
< 0.1%
0.8957 2
 
< 0.1%
0.8932 1
 
< 0.1%

NONLIVINGAPARTMENTS_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct96
Distinct (%)0.6%
Missing34631
Missing (%)69.3%
Infinite0
Infinite (%)0.0%
Mean0.0079647277
Minimum0
Maximum1
Zeros9646
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:23.999354image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0039
95-th percentile0.0272
Maximum1
Range1
Interquartile range (IQR)0.0039

Descriptive statistics

Standard deviation0.045056207
Coefficient of variation (CV)5.6569677
Kurtosis315.73239
Mean0.0079647277
Median Absolute Deviation (MAD)0
Skewness16.390368
Sum122.4099
Variance0.0020300618
MonotonicityNot monotonic
2024-09-01T13:14:24.043374image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 9646
 
19.3%
0.0039 2257
 
4.5%
0.0078 1065
 
2.1%
0.0117 627
 
1.3%
0.0156 410
 
0.8%
0.0195 305
 
0.6%
0.0233 197
 
0.4%
0.0272 151
 
0.3%
0.0311 141
 
0.3%
0.0389 89
 
0.2%
Other values (86) 481
 
1.0%
(Missing) 34631
69.3%
ValueCountFrequency (%)
0 9646
19.3%
0.0039 2257
 
4.5%
0.0078 1065
 
2.1%
0.0117 627
 
1.3%
0.0156 410
 
0.8%
0.0195 305
 
0.6%
0.0233 197
 
0.4%
0.0272 151
 
0.3%
0.0311 141
 
0.3%
0.035 88
 
0.2%
ValueCountFrequency (%)
1 11
< 0.1%
0.9805 2
 
< 0.1%
0.9533 1
 
< 0.1%
0.9416 1
 
< 0.1%
0.9339 3
 
< 0.1%
0.8911 1
 
< 0.1%
0.8872 1
 
< 0.1%
0.7782 2
 
< 0.1%
0.751 1
 
< 0.1%
0.7082 1
 
< 0.1%

NONLIVINGAREA_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct1992
Distinct (%)8.8%
Missing27437
Missing (%)54.9%
Infinite0
Infinite (%)0.0%
Mean0.027078664
Minimum0
Maximum1
Zeros10925
Zeros (%)21.9%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:24.085899image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0012
Q30.0239
95-th percentile0.12848
Maximum1
Range1
Interquartile range (IQR)0.0239

Descriptive statistics

Standard deviation0.07051292
Coefficient of variation (CV)2.6040029
Kurtosis67.730296
Mean0.027078664
Median Absolute Deviation (MAD)0.0012
Skewness6.754787
Sum610.9759
Variance0.0049720719
MonotonicityNot monotonic
2024-09-01T13:14:24.129359image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 10925
 
21.9%
0.0011 90
 
0.2%
0.0012 82
 
0.2%
0.0046 70
 
0.1%
0.0033 68
 
0.1%
0.0055 65
 
0.1%
0.0037 65
 
0.1%
0.0049 64
 
0.1%
0.0038 60
 
0.1%
0.0045 60
 
0.1%
Other values (1982) 11014
22.0%
(Missing) 27437
54.9%
ValueCountFrequency (%)
0 10925
21.9%
0.0001 19
 
< 0.1%
0.0002 20
 
< 0.1%
0.0003 10
 
< 0.1%
0.0004 19
 
< 0.1%
0.0005 22
 
< 0.1%
0.0006 20
 
< 0.1%
0.0007 20
 
< 0.1%
0.0008 22
 
< 0.1%
0.0009 30
 
0.1%
ValueCountFrequency (%)
1 26
0.1%
0.9343 1
 
< 0.1%
0.9159 1
 
< 0.1%
0.9075 1
 
< 0.1%
0.9057 1
 
< 0.1%
0.8695 1
 
< 0.1%
0.8619 2
 
< 0.1%
0.8581 1
 
< 0.1%
0.8455 2
 
< 0.1%
0.8112 2
 
< 0.1%

APARTMENTS_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct907
Distinct (%)3.7%
Missing25299
Missing (%)50.6%
Infinite0
Infinite (%)0.0%
Mean0.11784278
Minimum0
Maximum1
Zeros120
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:24.171557image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0083
Q10.0573
median0.0864
Q30.1499
95-th percentile0.33
Maximum1
Range1
Interquartile range (IQR)0.0926

Descriptive statistics

Standard deviation0.10869123
Coefficient of variation (CV)0.92234102
Kurtosis10.707818
Mean0.11784278
Median Absolute Deviation (MAD)0.0448
Skewness2.5732869
Sum2910.8345
Variance0.011813783
MonotonicityNot monotonic
2024-09-01T13:14:24.214369image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0833 1154
 
2.3%
0.0625 1094
 
2.2%
0.0937 730
 
1.5%
0.0729 663
 
1.3%
0.0083 568
 
1.1%
0.0167 534
 
1.1%
0.1041 506
 
1.0%
0.1499 474
 
0.9%
0.0125 444
 
0.9%
0.0749 419
 
0.8%
Other values (897) 18115
36.2%
(Missing) 25299
50.6%
ValueCountFrequency (%)
0 120
0.2%
0.001 33
 
0.1%
0.0016 2
 
< 0.1%
0.0021 135
0.3%
0.0026 3
 
< 0.1%
0.0031 64
 
0.1%
0.0036 2
 
< 0.1%
0.0042 160
0.3%
0.0047 1
 
< 0.1%
0.0052 55
 
0.1%
ValueCountFrequency (%)
1 21
< 0.1%
0.9972 2
 
< 0.1%
0.991 2
 
< 0.1%
0.9753 1
 
< 0.1%
0.9576 1
 
< 0.1%
0.9337 1
 
< 0.1%
0.916 1
 
< 0.1%
0.9098 1
 
< 0.1%
0.9066 1
 
< 0.1%
0.9025 1
 
< 0.1%

BASEMENTAREA_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2739
Distinct (%)13.2%
Missing29226
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean0.087466641
Minimum0
Maximum1
Zeros2438
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:24.256441image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0439
median0.076
Q30.1113
95-th percentile0.2199
Maximum1
Range1
Interquartile range (IQR)0.0674

Descriptive statistics

Standard deviation0.080962161
Coefficient of variation (CV)0.92563473
Kurtosis27.043233
Mean0.087466641
Median Absolute Deviation (MAD)0.03375
Skewness3.5826092
Sum1817.032
Variance0.0065548715
MonotonicityNot monotonic
2024-09-01T13:14:24.298416image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2438
 
4.9%
0.0818 50
 
0.1%
0.08 49
 
0.1%
0.1091 47
 
0.1%
0.0796 46
 
0.1%
0.0764 41
 
0.1%
0.0625 39
 
0.1%
0.0618 38
 
0.1%
0.0655 38
 
0.1%
0.0636 37
 
0.1%
Other values (2729) 17951
35.9%
(Missing) 29226
58.5%
ValueCountFrequency (%)
0 2438
4.9%
0.0001 20
 
< 0.1%
0.0002 9
 
< 0.1%
0.0003 1
 
< 0.1%
0.0004 2
 
< 0.1%
0.0005 12
 
< 0.1%
0.0006 4
 
< 0.1%
0.0007 2
 
< 0.1%
0.0008 3
 
< 0.1%
0.0009 7
 
< 0.1%
ValueCountFrequency (%)
1 23
< 0.1%
0.9677 1
 
< 0.1%
0.9636 1
 
< 0.1%
0.955 1
 
< 0.1%
0.9431 1
 
< 0.1%
0.9169 1
 
< 0.1%
0.8152 1
 
< 0.1%
0.815 2
 
< 0.1%
0.7924 1
 
< 0.1%
0.7775 1
 
< 0.1%

YEARS_BEGINEXPLUATATION_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct168
Distinct (%)0.7%
Missing24370
Missing (%)48.7%
Infinite0
Infinite (%)0.0%
Mean0.97765869
Minimum0
Maximum1
Zeros88
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:24.340514image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9687
Q10.9767
median0.9816
Q30.9866
95-th percentile0.9955
Maximum1
Range1
Interquartile range (IQR)0.0099

Descriptive statistics

Standard deviation0.059778888
Coefficient of variation (CV)0.061144946
Kurtosis250.03179
Mean0.97765869
Median Absolute Deviation (MAD)0.005
Skewness-15.630265
Sum25057.392
Variance0.0035735154
MonotonicityNot monotonic
2024-09-01T13:14:24.382817image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.9801 702
 
1.4%
0.9871 690
 
1.4%
0.9791 672
 
1.3%
0.9876 672
 
1.3%
0.9866 670
 
1.3%
0.9831 666
 
1.3%
0.9861 659
 
1.3%
0.9851 652
 
1.3%
0.9796 652
 
1.3%
0.9856 649
 
1.3%
Other values (158) 18946
37.9%
(Missing) 24370
48.7%
ValueCountFrequency (%)
0 88
0.2%
0.0179 1
 
< 0.1%
0.0447 1
 
< 0.1%
0.4759 1
 
< 0.1%
0.4774 1
 
< 0.1%
0.4883 1
 
< 0.1%
0.4898 1
 
< 0.1%
0.4903 3
 
< 0.1%
0.4908 1
 
< 0.1%
0.4933 1
 
< 0.1%
ValueCountFrequency (%)
1 31
 
0.1%
0.9995 109
0.2%
0.999 148
0.3%
0.9985 151
0.3%
0.998 168
0.3%
0.9975 187
0.4%
0.997 172
0.3%
0.9965 143
0.3%
0.996 153
0.3%
0.9955 119
0.2%

YEARS_BUILD_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)0.8%
Missing33161
Missing (%)66.3%
Infinite0
Infinite (%)0.0%
Mean0.75452362
Minimum0
Maximum1
Zeros11
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:24.424357image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5975
Q10.6914
median0.7585
Q30.8256
95-th percentile0.9463
Maximum1
Range1
Interquartile range (IQR)0.1342

Descriptive statistics

Standard deviation0.11231895
Coefficient of variation (CV)0.14886075
Kurtosis3.9587756
Mean0.75452362
Median Absolute Deviation (MAD)0.0671
Skewness-0.91808225
Sum12705.423
Variance0.012615547
MonotonicityNot monotonic
2024-09-01T13:14:24.467569image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.7316 488
 
1.0%
0.8256 482
 
1.0%
0.8189 481
 
1.0%
0.8323 475
 
0.9%
0.7451 455
 
0.9%
0.8054 450
 
0.9%
0.7182 445
 
0.9%
0.7987 444
 
0.9%
0.8121 443
 
0.9%
0.7518 439
 
0.9%
Other values (120) 12237
 
24.5%
(Missing) 33161
66.3%
ValueCountFrequency (%)
0 11
< 0.1%
0.0138 1
 
< 0.1%
0.0205 1
 
< 0.1%
0.0272 1
 
< 0.1%
0.0473 1
 
< 0.1%
0.0674 2
 
< 0.1%
0.0876 1
 
< 0.1%
0.0943 1
 
< 0.1%
0.101 1
 
< 0.1%
0.1077 1
 
< 0.1%
ValueCountFrequency (%)
1 30
 
0.1%
0.9933 82
0.2%
0.9866 105
0.2%
0.9799 117
0.2%
0.9732 123
0.2%
0.9665 121
0.2%
0.9597 128
0.3%
0.953 113
0.2%
0.9463 115
0.2%
0.9396 98
0.2%

COMMONAREA_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct1984
Distinct (%)13.1%
Missing34890
Missing (%)69.8%
Infinite0
Infinite (%)0.0%
Mean0.044944328
Minimum0
Maximum1
Zeros1446
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:24.510620image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0078
median0.0209
Q30.0511
95-th percentile0.162355
Maximum1
Range1
Interquartile range (IQR)0.0433

Descriptive statistics

Standard deviation0.078826348
Coefficient of variation (CV)1.7538664
Kurtosis45.766495
Mean0.044944328
Median Absolute Deviation (MAD)0.0171
Skewness5.5416715
Sum679.1088
Variance0.0062135931
MonotonicityNot monotonic
2024-09-01T13:14:24.559103image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 1446
 
2.9%
0.008 82
 
0.2%
0.0079 82
 
0.2%
0.0078 74
 
0.1%
0.0086 62
 
0.1%
0.0014 58
 
0.1%
0.0012 57
 
0.1%
0.0071 55
 
0.1%
0.001 55
 
0.1%
0.0097 51
 
0.1%
Other values (1974) 13088
 
26.2%
(Missing) 34890
69.8%
ValueCountFrequency (%)
0 1446
2.9%
0.0001 5
 
< 0.1%
0.0002 7
 
< 0.1%
0.0003 13
 
< 0.1%
0.0004 8
 
< 0.1%
0.0005 16
 
< 0.1%
0.0006 23
 
< 0.1%
0.0007 37
 
0.1%
0.0008 14
 
< 0.1%
0.0009 25
 
0.1%
ValueCountFrequency (%)
1 15
< 0.1%
0.9969 1
 
< 0.1%
0.9565 1
 
< 0.1%
0.8911 1
 
< 0.1%
0.8864 2
 
< 0.1%
0.8825 1
 
< 0.1%
0.8794 1
 
< 0.1%
0.8658 1
 
< 0.1%
0.8656 1
 
< 0.1%
0.8568 1
 
< 0.1%

ELEVATORS_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct43
Distinct (%)0.2%
Missing26607
Missing (%)53.2%
Infinite0
Infinite (%)0.0%
Mean0.07714359
Minimum0
Maximum1
Zeros14231
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:24.601414image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.12
95-th percentile0.36
Maximum1
Range1
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.13303324
Coefficient of variation (CV)1.7244886
Kurtosis7.9608401
Mean0.07714359
Median Absolute Deviation (MAD)0
Skewness2.4526799
Sum1804.62
Variance0.017697843
MonotonicityNot monotonic
2024-09-01T13:14:24.644554image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 14231
28.5%
0.08 1745
 
3.5%
0.16 1484
 
3.0%
0.24 1030
 
2.1%
0.12 985
 
2.0%
0.04 797
 
1.6%
0.2 672
 
1.3%
0.32 468
 
0.9%
0.28 390
 
0.8%
0.4 260
 
0.5%
Other values (33) 1331
 
2.7%
(Missing) 26607
53.2%
ValueCountFrequency (%)
0 14231
28.5%
0.02 59
 
0.1%
0.04 797
 
1.6%
0.06 70
 
0.1%
0.08 1745
 
3.5%
0.1 79
 
0.2%
0.12 985
 
2.0%
0.14 57
 
0.1%
0.16 1484
 
3.0%
0.18 46
 
0.1%
ValueCountFrequency (%)
1 21
< 0.1%
0.96 13
< 0.1%
0.92 5
 
< 0.1%
0.88 13
< 0.1%
0.84 8
 
< 0.1%
0.8 24
< 0.1%
0.78 1
 
< 0.1%
0.76 5
 
< 0.1%
0.72 32
0.1%
0.68 17
< 0.1%

ENTRANCES_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct45
Distinct (%)0.2%
Missing25157
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean0.14929064
Minimum0
Maximum1
Zeros50
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:24.688630image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0345
Q10.069
median0.1379
Q30.2069
95-th percentile0.3103
Maximum1
Range1
Interquartile range (IQR)0.1379

Descriptive statistics

Standard deviation0.10117952
Coefficient of variation (CV)0.67773519
Kurtosis12.199726
Mean0.14929064
Median Absolute Deviation (MAD)0.0689
Skewness2.4644541
Sum3708.8274
Variance0.010237296
MonotonicityNot monotonic
2024-09-01T13:14:24.730157image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.1379 5769
 
11.5%
0.069 3919
 
7.8%
0.1034 3292
 
6.6%
0.2069 3205
 
6.4%
0.0345 2670
 
5.3%
0.1724 1571
 
3.1%
0.2759 1312
 
2.6%
0.2414 729
 
1.5%
0.3448 347
 
0.7%
0.3103 334
 
0.7%
Other values (35) 1695
 
3.4%
(Missing) 25157
50.3%
ValueCountFrequency (%)
0 50
 
0.1%
0.0172 1
 
< 0.1%
0.0345 2670
5.3%
0.0517 116
 
0.2%
0.069 3919
7.8%
0.0862 215
 
0.4%
0.1034 3292
6.6%
0.1207 193
 
0.4%
0.1379 5769
11.5%
0.1552 131
 
0.3%
ValueCountFrequency (%)
1 30
0.1%
0.9655 3
 
< 0.1%
0.931 2
 
< 0.1%
0.8966 11
 
< 0.1%
0.8621 3
 
< 0.1%
0.8276 6
 
< 0.1%
0.7931 9
 
< 0.1%
0.7586 12
 
< 0.1%
0.7241 8
 
< 0.1%
0.6897 19
< 0.1%

FLOORSMAX_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct47
Distinct (%)0.2%
Missing24840
Missing (%)49.7%
Infinite0
Infinite (%)0.0%
Mean0.22491804
Minimum0
Maximum1
Zeros501
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:24.771263image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.1667
median0.1667
Q30.3333
95-th percentile0.4583
Maximum1
Range1
Interquartile range (IQR)0.1666

Descriptive statistics

Standard deviation0.14453452
Coefficient of variation (CV)0.6426097
Kurtosis2.5131653
Mean0.22491804
Median Absolute Deviation (MAD)0.0834
Skewness1.2492965
Sum5658.9379
Variance0.020890226
MonotonicityNot monotonic
2024-09-01T13:14:24.812964image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.1667 10376
20.8%
0.3333 5381
 
10.8%
0.0417 2424
 
4.8%
0.375 1360
 
2.7%
0.125 1170
 
2.3%
0.0833 1079
 
2.2%
0 501
 
1.0%
0.4583 477
 
1.0%
0.5417 319
 
0.6%
0.25 313
 
0.6%
Other values (37) 1760
 
3.5%
(Missing) 24840
49.7%
ValueCountFrequency (%)
0 501
 
1.0%
0.0208 17
 
< 0.1%
0.0417 2424
 
4.8%
0.0625 21
 
< 0.1%
0.0833 1079
 
2.2%
0.1042 83
 
0.2%
0.125 1170
 
2.3%
0.1458 56
 
0.1%
0.1667 10376
20.8%
0.1875 32
 
0.1%
ValueCountFrequency (%)
1 23
< 0.1%
0.9792 1
 
< 0.1%
0.9583 16
< 0.1%
0.9375 1
 
< 0.1%
0.9167 6
 
< 0.1%
0.8958 1
 
< 0.1%
0.875 37
0.1%
0.8333 7
 
< 0.1%
0.8125 5
 
< 0.1%
0.7917 16
< 0.1%

FLOORSMIN_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct46
Distinct (%)0.3%
Missing33864
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean0.23070783
Minimum0
Maximum1
Zeros366
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:24.853538image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.0833
median0.2083
Q30.375
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.2917

Descriptive statistics

Standard deviation0.16130612
Coefficient of variation (CV)0.69917922
Kurtosis1.3069729
Mean0.23070783
Median Absolute Deviation (MAD)0.1666
Skewness0.95575942
Sum3722.7016
Variance0.026019666
MonotonicityNot monotonic
2024-09-01T13:14:24.895748image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.2083 5519
 
11.0%
0.0417 3014
 
6.0%
0.375 2951
 
5.9%
0.0833 824
 
1.6%
0.4167 697
 
1.4%
0.1667 617
 
1.2%
0.125 508
 
1.0%
0 366
 
0.7%
0.5 295
 
0.6%
0.6667 196
 
0.4%
Other values (36) 1149
 
2.3%
(Missing) 33864
67.7%
ValueCountFrequency (%)
0 366
 
0.7%
0.0208 9
 
< 0.1%
0.0417 3014
6.0%
0.0625 8
 
< 0.1%
0.0833 824
 
1.6%
0.1042 14
 
< 0.1%
0.125 508
 
1.0%
0.1458 34
 
0.1%
0.1667 617
 
1.2%
0.1875 25
 
0.1%
ValueCountFrequency (%)
1 19
< 0.1%
0.9792 1
 
< 0.1%
0.9583 3
 
< 0.1%
0.9167 19
< 0.1%
0.875 3
 
< 0.1%
0.8542 2
 
< 0.1%
0.8333 9
< 0.1%
0.8125 3
 
< 0.1%
0.7917 11
< 0.1%
0.75 19
< 0.1%

LANDAREA_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2528
Distinct (%)12.4%
Missing29637
Missing (%)59.3%
Infinite0
Infinite (%)0.0%
Mean0.066493252
Minimum0
Maximum1
Zeros2598
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:24.937379image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0186
median0.0481
Q30.0862
95-th percentile0.19454
Maximum1
Range1
Interquartile range (IQR)0.0676

Descriptive statistics

Standard deviation0.081955748
Coefficient of variation (CV)1.2325423
Kurtosis35.588432
Mean0.066493252
Median Absolute Deviation (MAD)0.0325
Skewness4.5186294
Sum1354.0021
Variance0.0067167446
MonotonicityNot monotonic
2024-09-01T13:14:24.979956image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2598
 
5.2%
0.0321 39
 
0.1%
0.0177 37
 
0.1%
0.0144 36
 
0.1%
0.0385 35
 
0.1%
0.0203 34
 
0.1%
0.0241 34
 
0.1%
0.023 33
 
0.1%
0.0193 32
 
0.1%
0.0225 31
 
0.1%
Other values (2518) 17454
34.9%
(Missing) 29637
59.3%
ValueCountFrequency (%)
0 2598
5.2%
0.0001 2
 
< 0.1%
0.0002 3
 
< 0.1%
0.0004 2
 
< 0.1%
0.0005 1
 
< 0.1%
0.0006 3
 
< 0.1%
0.0007 2
 
< 0.1%
0.0008 3
 
< 0.1%
0.001 2
 
< 0.1%
0.0011 2
 
< 0.1%
ValueCountFrequency (%)
1 27
0.1%
0.9858 1
 
< 0.1%
0.9662 1
 
< 0.1%
0.9103 2
 
< 0.1%
0.8789 1
 
< 0.1%
0.8705 1
 
< 0.1%
0.8374 1
 
< 0.1%
0.7966 1
 
< 0.1%
0.7824 1
 
< 0.1%
0.7704 1
 
< 0.1%

LIVINGAPARTMENTS_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct815
Distinct (%)5.1%
Missing34114
Missing (%)68.2%
Infinite0
Infinite (%)0.0%
Mean0.10186285
Minimum0
Maximum1
Zeros56
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:25.021111image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0103
Q10.0513
median0.0761
Q30.1231
95-th percentile0.2779
Maximum1
Range1
Interquartile range (IQR)0.0718

Descriptive statistics

Standard deviation0.092379964
Coefficient of variation (CV)0.90690537
Kurtosis14.276141
Mean0.10186285
Median Absolute Deviation (MAD)0.0333
Skewness2.8583731
Sum1618.1932
Variance0.0085340577
MonotonicityNot monotonic
2024-09-01T13:14:25.064110image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0513 739
 
1.5%
0.0684 734
 
1.5%
0.077 467
 
0.9%
0.0599 418
 
0.8%
0.0855 321
 
0.6%
0.1231 276
 
0.6%
0.0616 274
 
0.5%
0.0068 266
 
0.5%
0.0137 246
 
0.5%
0.1026 245
 
0.5%
Other values (805) 11900
 
23.8%
(Missing) 34114
68.2%
ValueCountFrequency (%)
0 56
0.1%
0.0009 18
 
< 0.1%
0.0017 38
0.1%
0.0026 14
 
< 0.1%
0.0034 67
0.1%
0.0043 24
 
< 0.1%
0.0051 38
0.1%
0.0056 1
 
< 0.1%
0.006 16
 
< 0.1%
0.0064 1
 
< 0.1%
ValueCountFrequency (%)
1 12
< 0.1%
0.9654 1
 
< 0.1%
0.9312 1
 
< 0.1%
0.8534 2
 
< 0.1%
0.8482 1
 
< 0.1%
0.8414 1
 
< 0.1%
0.7935 2
 
< 0.1%
0.7422 2
 
< 0.1%
0.7414 1
 
< 0.1%
0.726 1
 
< 0.1%

LIVINGAREA_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct3752
Distinct (%)15.0%
Missing25041
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean0.10783432
Minimum0
Maximum1
Zeros46
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:25.106065image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0082
Q10.0449
median0.0748
Q30.1301
95-th percentile0.32272
Maximum1
Range1
Interquartile range (IQR)0.0852

Descriptive statistics

Standard deviation0.11098154
Coefficient of variation (CV)1.0291858
Kurtosis11.964055
Mean0.10783432
Median Absolute Deviation (MAD)0.0397
Skewness2.8181834
Sum2691.4367
Variance0.012316903
MonotonicityNot monotonic
2024-09-01T13:14:25.147465image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 46
 
0.1%
0.0714 43
 
0.1%
0.0149 40
 
0.1%
0.0709 39
 
0.1%
0.0522 39
 
0.1%
0.052 39
 
0.1%
0.0516 39
 
0.1%
0.0534 38
 
0.1%
0.0652 38
 
0.1%
0.0676 38
 
0.1%
Other values (3742) 24560
49.1%
(Missing) 25041
50.1%
ValueCountFrequency (%)
0 46
0.1%
0.0003 2
 
< 0.1%
0.0004 2
 
< 0.1%
0.0005 4
 
< 0.1%
0.0006 4
 
< 0.1%
0.0007 3
 
< 0.1%
0.0008 5
 
< 0.1%
0.0009 4
 
< 0.1%
0.001 7
 
< 0.1%
0.0011 11
 
< 0.1%
ValueCountFrequency (%)
1 25
0.1%
0.9931 2
 
< 0.1%
0.9694 1
 
< 0.1%
0.9196 1
 
< 0.1%
0.9187 2
 
< 0.1%
0.9101 2
 
< 0.1%
0.9048 1
 
< 0.1%
0.9032 1
 
< 0.1%
0.8911 3
 
< 0.1%
0.8808 1
 
< 0.1%

NONLIVINGAPARTMENTS_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct120
Distinct (%)0.8%
Missing34631
Missing (%)69.3%
Infinite0
Infinite (%)0.0%
Mean0.0085260589
Minimum0
Maximum1
Zeros9153
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:25.188211image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0039
95-th percentile0.0311
Maximum1
Range1
Interquartile range (IQR)0.0039

Descriptive statistics

Standard deviation0.046336368
Coefficient of variation (CV)5.4346761
Kurtosis295.34279
Mean0.0085260589
Median Absolute Deviation (MAD)0
Skewness15.847326
Sum131.037
Variance0.002147059
MonotonicityNot monotonic
2024-09-01T13:14:25.232002image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 9153
 
18.3%
0.0039 2258
 
4.5%
0.0078 1077
 
2.2%
0.0116 641
 
1.3%
0.0155 413
 
0.8%
0.0194 313
 
0.6%
0.0233 202
 
0.4%
0.0019 198
 
0.4%
0.0272 159
 
0.3%
0.0311 144
 
0.3%
Other values (110) 811
 
1.6%
(Missing) 34631
69.3%
ValueCountFrequency (%)
0 9153
18.3%
0.0019 198
 
0.4%
0.0039 2258
 
4.5%
0.0058 74
 
0.1%
0.0078 1077
 
2.2%
0.0097 49
 
0.1%
0.0116 641
 
1.3%
0.0136 27
 
0.1%
0.0155 413
 
0.8%
0.0175 11
 
< 0.1%
ValueCountFrequency (%)
1 10
< 0.1%
0.9976 1
 
< 0.1%
0.9782 2
 
< 0.1%
0.9608 1
 
< 0.1%
0.9511 1
 
< 0.1%
0.9394 1
 
< 0.1%
0.9317 3
 
< 0.1%
0.889 1
 
< 0.1%
0.8851 1
 
< 0.1%
0.7764 2
 
< 0.1%

NONLIVINGAREA_MEDI
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct1984
Distinct (%)8.8%
Missing27437
Missing (%)54.9%
Infinite0
Infinite (%)0.0%
Mean0.028303891
Minimum0
Maximum1
Zeros9933
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:25.273650image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0032
Q30.0271
95-th percentile0.1284
Maximum1
Range1
Interquartile range (IQR)0.0271

Descriptive statistics

Standard deviation0.070010415
Coefficient of variation (CV)2.4735261
Kurtosis66.849525
Mean0.028303891
Median Absolute Deviation (MAD)0.0032
Skewness6.6640562
Sum638.6207
Variance0.0049014582
MonotonicityNot monotonic
2024-09-01T13:14:25.317945image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 9933
 
19.9%
0.0011 86
 
0.2%
0.0037 84
 
0.2%
0.0012 83
 
0.2%
0.0047 73
 
0.1%
0.0043 71
 
0.1%
0.0022 68
 
0.1%
0.0031 68
 
0.1%
0.0045 66
 
0.1%
0.0053 66
 
0.1%
Other values (1974) 11965
23.9%
(Missing) 27437
54.9%
ValueCountFrequency (%)
0 9933
19.9%
0.0001 26
 
0.1%
0.0002 17
 
< 0.1%
0.0003 13
 
< 0.1%
0.0004 26
 
0.1%
0.0005 21
 
< 0.1%
0.0006 21
 
< 0.1%
0.0007 24
 
< 0.1%
0.0008 22
 
< 0.1%
0.0009 38
 
0.1%
ValueCountFrequency (%)
1 22
< 0.1%
0.9792 1
 
< 0.1%
0.9759 3
 
< 0.1%
0.9756 1
 
< 0.1%
0.901 1
 
< 0.1%
0.8833 1
 
< 0.1%
0.8752 1
 
< 0.1%
0.8735 1
 
< 0.1%
0.8385 1
 
< 0.1%
0.8312 2
 
< 0.1%

FONDKAPREMONT_MODE
Categorical

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing34143
Missing (%)68.3%
Memory size3.2 MiB
reg oper account
12086 
reg oper spec account
1961 
org spec account
 
909
not specified
 
901

Length

Max length21
Median length16
Mean length16.447878
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowreg oper account
2nd rowreg oper account
3rd roworg spec account
4th rowreg oper account
5th rowreg oper account

Common Values

ValueCountFrequency (%)
reg oper account 12086
 
24.2%
reg oper spec account 1961
 
3.9%
org spec account 909
 
1.8%
not specified 901
 
1.8%
(Missing) 34143
68.3%

Length

2024-09-01T13:14:25.366362image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:25.407832image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

HOUSETYPE_MODE
Categorical

IMBALANCE  MISSING 

Distinct3
Distinct (%)< 0.1%
Missing25045
Missing (%)50.1%
Memory size3.2 MiB
block of flats
24486 
specific housing
 
263
terraced house
 
206

Length

Max length16
Median length14
Mean length14.021078
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowblock of flats
2nd rowblock of flats
3rd rowblock of flats
4th rowblock of flats
5th rowblock of flats

Common Values

ValueCountFrequency (%)
block of flats 24486
49.0%
specific housing 263
 
0.5%
terraced house 206
 
0.4%
(Missing) 25045
50.1%

Length

2024-09-01T13:14:25.454702image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:25.492324image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

TOTALAREA_MODE
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct3702
Distinct (%)14.3%
Missing24122
Missing (%)48.2%
Infinite0
Infinite (%)0.0%
Mean0.10186031
Minimum0
Maximum1
Zeros102
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:25.529211image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0067
Q10.0407
median0.0689
Q30.127475
95-th percentile0.306345
Maximum1
Range1
Interquartile range (IQR)0.086775

Descriptive statistics

Standard deviation0.1055875
Coefficient of variation (CV)1.0365912
Kurtosis11.576587
Mean0.10186031
Median Absolute Deviation (MAD)0.0378
Skewness2.7164654
Sum2635.9411
Variance0.011148721
MonotonicityNot monotonic
2024-09-01T13:14:25.570835image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 102
 
0.2%
0.0547 49
 
0.1%
0.0556 48
 
0.1%
0.0551 47
 
0.1%
0.055 43
 
0.1%
0.0573 43
 
0.1%
0.057 42
 
0.1%
0.0548 42
 
0.1%
0.0686 41
 
0.1%
0.0609 40
 
0.1%
Other values (3692) 25381
50.8%
(Missing) 24122
48.2%
ValueCountFrequency (%)
0 102
0.2%
0.0001 3
 
< 0.1%
0.0003 3
 
< 0.1%
0.0004 3
 
< 0.1%
0.0005 4
 
< 0.1%
0.0006 9
 
< 0.1%
0.0007 8
 
< 0.1%
0.0008 7
 
< 0.1%
0.0009 9
 
< 0.1%
0.001 18
 
< 0.1%
ValueCountFrequency (%)
1 22
< 0.1%
0.9746 1
 
< 0.1%
0.956 2
 
< 0.1%
0.9486 1
 
< 0.1%
0.9347 1
 
< 0.1%
0.9214 1
 
< 0.1%
0.9195 1
 
< 0.1%
0.9057 1
 
< 0.1%
0.8923 1
 
< 0.1%
0.89 1
 
< 0.1%

WALLSMATERIAL_MODE
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing25366
Missing (%)50.7%
Memory size3.1 MiB
Panel
10759 
Stone, brick
10640 
Block
1483 
Wooden
 
853
Mixed
 
357
Other values (2)
 
542

Length

Max length12
Median length5
Mean length8.123772
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMonolithic
2nd rowPanel
3rd rowStone, brick
4th rowPanel
5th rowStone, brick

Common Values

ValueCountFrequency (%)
Panel 10759
21.5%
Stone, brick 10640
21.3%
Block 1483
 
3.0%
Wooden 853
 
1.7%
Mixed 357
 
0.7%
Others 273
 
0.5%
Monolithic 269
 
0.5%
(Missing) 25366
50.7%

Length

2024-09-01T13:14:25.617170image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:25.658185image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

EMERGENCYSTATE_MODE
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing23670
Missing (%)47.3%
Memory size488.3 KiB
False
25968 
True
 
362
(Missing)
23670 
ValueCountFrequency (%)
False 25968
51.9%
True 362
 
0.7%
(Missing) 23670
47.3%
2024-09-01T13:14:25.695543image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

OBS_30_CNT_SOCIAL_CIRCLE
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct28
Distinct (%)0.1%
Missing166
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1.4225428
Minimum0
Maximum27
Zeros26782
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:25.730118image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum27
Range27
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.3392621
Coefficient of variation (CV)1.644423
Kurtosis10.071175
Mean1.4225428
Median Absolute Deviation (MAD)0
Skewness2.625412
Sum70891
Variance5.4721473
MonotonicityNot monotonic
2024-09-01T13:14:25.772458image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 26782
53.6%
1 7827
 
15.7%
2 4907
 
9.8%
3 3218
 
6.4%
4 2247
 
4.5%
5 1569
 
3.1%
6 1068
 
2.1%
7 675
 
1.4%
8 504
 
1.0%
9 352
 
0.7%
Other values (18) 685
 
1.4%
ValueCountFrequency (%)
0 26782
53.6%
1 7827
 
15.7%
2 4907
 
9.8%
3 3218
 
6.4%
4 2247
 
4.5%
5 1569
 
3.1%
6 1068
 
2.1%
7 675
 
1.4%
8 504
 
1.0%
9 352
 
0.7%
ValueCountFrequency (%)
27 1
 
< 0.1%
26 1
 
< 0.1%
25 4
< 0.1%
24 2
 
< 0.1%
23 1
 
< 0.1%
22 7
< 0.1%
21 6
< 0.1%
20 7
< 0.1%
19 8
< 0.1%
18 7
< 0.1%

DEF_30_CNT_SOCIAL_CIRCLE
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing166
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.1459646
Minimum0
Maximum8
Zeros44029
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:25.812299image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.44769914
Coefficient of variation (CV)3.0671761
Kurtosis20.367886
Mean0.1459646
Median Absolute Deviation (MAD)0
Skewness3.8906456
Sum7274
Variance0.20043452
MonotonicityNot monotonic
2024-09-01T13:14:25.851508image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 44029
88.1%
1 4658
 
9.3%
2 897
 
1.8%
3 194
 
0.4%
4 46
 
0.1%
5 6
 
< 0.1%
6 3
 
< 0.1%
8 1
 
< 0.1%
(Missing) 166
 
0.3%
ValueCountFrequency (%)
0 44029
88.1%
1 4658
 
9.3%
2 897
 
1.8%
3 194
 
0.4%
4 46
 
0.1%
5 6
 
< 0.1%
6 3
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
6 3
 
< 0.1%
5 6
 
< 0.1%
4 46
 
0.1%
3 194
 
0.4%
2 897
 
1.8%
1 4658
 
9.3%
0 44029
88.1%

OBS_60_CNT_SOCIAL_CIRCLE
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)0.1%
Missing166
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1.4057872
Minimum0
Maximum27
Zeros26899
Zeros (%)53.8%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:25.892722image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum27
Range27
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.3182047
Coefficient of variation (CV)1.6490438
Kurtosis10.120269
Mean1.4057872
Median Absolute Deviation (MAD)0
Skewness2.6317479
Sum70056
Variance5.3740728
MonotonicityNot monotonic
2024-09-01T13:14:25.934976image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 26899
53.8%
1 7847
 
15.7%
2 4887
 
9.8%
3 3210
 
6.4%
4 2212
 
4.4%
5 1560
 
3.1%
6 1055
 
2.1%
7 674
 
1.3%
8 484
 
1.0%
9 346
 
0.7%
Other values (17) 660
 
1.3%
ValueCountFrequency (%)
0 26899
53.8%
1 7847
 
15.7%
2 4887
 
9.8%
3 3210
 
6.4%
4 2212
 
4.4%
5 1560
 
3.1%
6 1055
 
2.1%
7 674
 
1.3%
8 484
 
1.0%
9 346
 
0.7%
ValueCountFrequency (%)
27 1
 
< 0.1%
26 1
 
< 0.1%
25 3
 
< 0.1%
24 3
 
< 0.1%
22 7
< 0.1%
21 4
 
< 0.1%
20 8
< 0.1%
19 10
< 0.1%
18 7
< 0.1%
17 16
< 0.1%

DEF_60_CNT_SOCIAL_CIRCLE
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing166
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.10139664
Minimum0
Maximum6
Zeros45566
Zeros (%)91.1%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:25.972684image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.36112106
Coefficient of variation (CV)3.5614698
Kurtosis24.99968
Mean0.10139664
Median Absolute Deviation (MAD)0
Skewness4.3900864
Sum5053
Variance0.13040842
MonotonicityNot monotonic
2024-09-01T13:14:26.007699image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 45566
91.1%
1 3643
 
7.3%
2 494
 
1.0%
3 106
 
0.2%
4 22
 
< 0.1%
5 2
 
< 0.1%
6 1
 
< 0.1%
(Missing) 166
 
0.3%
ValueCountFrequency (%)
0 45566
91.1%
1 3643
 
7.3%
2 494
 
1.0%
3 106
 
0.2%
4 22
 
< 0.1%
5 2
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
5 2
 
< 0.1%
4 22
 
< 0.1%
3 106
 
0.2%
2 494
 
1.0%
1 3643
 
7.3%
0 45566
91.1%

DAYS_LAST_PHONE_CHANGE
Real number (ℝ)

ZEROS 

Distinct3397
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-962.48572
Minimum-4128
Maximum0
Zeros6134
Zeros (%)12.3%
Negative43866
Negative (%)87.7%
Memory size781.2 KiB
2024-09-01T13:14:26.046622image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum-4128
5-th percentile-2515
Q1-1567
median-760
Q3-276
95-th percentile0
Maximum0
Range4128
Interquartile range (IQR)1291

Descriptive statistics

Standard deviation822.90941
Coefficient of variation (CV)-0.8549835
Kurtosis-0.30529719
Mean-962.48572
Median Absolute Deviation (MAD)625
Skewness-0.70793874
Sum-48124286
Variance677179.89
MonotonicityNot monotonic
2024-09-01T13:14:26.086430image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 6134
 
12.3%
-1 423
 
0.8%
-2 379
 
0.8%
-3 292
 
0.6%
-4 205
 
0.4%
-5 137
 
0.3%
-7 84
 
0.2%
-6 82
 
0.2%
-8 44
 
0.1%
-239 43
 
0.1%
Other values (3387) 42177
84.4%
ValueCountFrequency (%)
-4128 1
< 0.1%
-4066 1
< 0.1%
-4051 1
< 0.1%
-4046 1
< 0.1%
-4039 1
< 0.1%
-4033 1
< 0.1%
-4026 1
< 0.1%
-4002 1
< 0.1%
-3999 1
< 0.1%
-3988 1
< 0.1%
ValueCountFrequency (%)
0 6134
12.3%
-1 423
 
0.8%
-2 379
 
0.8%
-3 292
 
0.6%
-4 205
 
0.4%
-5 137
 
0.3%
-6 82
 
0.2%
-7 84
 
0.2%
-8 44
 
0.1%
-9 30
 
0.1%

FLAG_DOCUMENT_2
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
49996 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 49996
> 99.9%
1 4
 
< 0.1%

Length

2024-09-01T13:14:26.127245image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:26.159139image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_3
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
1
35549 
0
14451 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 35549
71.1%
0 14451
28.9%

Length

2024-09-01T13:14:26.194051image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:26.227157image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_4
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
49994 
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 49994
> 99.9%
1 6
 
< 0.1%

Length

2024-09-01T13:14:26.262572image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:26.294487image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_5
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
49252 
1
 
748

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 49252
98.5%
1 748
 
1.5%

Length

2024-09-01T13:14:26.329654image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:26.361544image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_6
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
45567 
1
 
4433

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 45567
91.1%
1 4433
 
8.9%

Length

2024-09-01T13:14:26.397454image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:26.429871image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_7
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
49994 
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 49994
> 99.9%
1 6
 
< 0.1%

Length

2024-09-01T13:14:26.465503image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:26.497704image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_8
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
45886 
1
 
4114

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 45886
91.8%
1 4114
 
8.2%

Length

2024-09-01T13:14:26.531921image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:26.564070image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_9
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
49805 
1
 
195

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 49805
99.6%
1 195
 
0.4%

Length

2024-09-01T13:14:26.599730image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:26.634757image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_10
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
49997 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 49997
> 99.9%
1 3
 
< 0.1%

Length

2024-09-01T13:14:26.672818image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:26.706150image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_11
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
49801 
1
 
199

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 49801
99.6%
1 199
 
0.4%

Length

2024-09-01T13:14:26.741694image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:26.774298image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_12
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
49999 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 49999
> 99.9%
1 1
 
< 0.1%

Length

2024-09-01T13:14:26.809752image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:26.842541image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_13
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
49821 
1
 
179

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 49821
99.6%
1 179
 
0.4%

Length

2024-09-01T13:14:26.877299image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:26.910255image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_14
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
49853 
1
 
147

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 49853
99.7%
1 147
 
0.3%

Length

2024-09-01T13:14:26.952256image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:26.985166image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_15
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
49931 
1
 
69

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 49931
99.9%
1 69
 
0.1%

Length

2024-09-01T13:14:27.020839image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:27.053201image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_16
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
49497 
1
 
503

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 49497
99.0%
1 503
 
1.0%

Length

2024-09-01T13:14:27.088864image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:27.122103image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_17
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
49982 
1
 
18

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 49982
> 99.9%
1 18
 
< 0.1%

Length

2024-09-01T13:14:27.157186image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:27.189640image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_18
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
49604 
1
 
396

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 49604
99.2%
1 396
 
0.8%

Length

2024-09-01T13:14:27.224172image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:27.255461image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_19
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
49965 
1
 
35

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 49965
99.9%
1 35
 
0.1%

Length

2024-09-01T13:14:27.290816image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:27.323197image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_20
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
49970 
1
 
30

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 49970
99.9%
1 30
 
0.1%

Length

2024-09-01T13:14:27.358567image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:27.643107image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

FLAG_DOCUMENT_21
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.8 MiB
0
49981 
1
 
19

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 49981
> 99.9%
1 19
 
< 0.1%

Length

2024-09-01T13:14:27.678773image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:27.711684image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

AMT_REQ_CREDIT_BUREAU_HOUR
Categorical

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing6796
Missing (%)13.6%
Memory size2.9 MiB
0.0
42939 
1.0
 
254
2.0
 
9
4.0
 
1
3.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 42939
85.9%
1.0 254
 
0.5%
2.0 9
 
< 0.1%
4.0 1
 
< 0.1%
3.0 1
 
< 0.1%
(Missing) 6796
 
13.6%

Length

2024-09-01T13:14:27.745770image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-01T13:14:27.783848image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

AMT_REQ_CREDIT_BUREAU_DAY
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing6796
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean0.0084251458
Minimum0
Maximum8
Zeros42934
Zeros (%)85.9%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:27.821639image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.13253935
Coefficient of variation (CV)15.731401
Kurtosis986.29574
Mean0.0084251458
Median Absolute Deviation (MAD)0
Skewness26.632421
Sum364
Variance0.017566679
MonotonicityNot monotonic
2024-09-01T13:14:27.907281image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 42934
85.9%
1 230
 
0.5%
2 16
 
< 0.1%
4 12
 
< 0.1%
3 6
 
< 0.1%
6 3
 
< 0.1%
5 2
 
< 0.1%
8 1
 
< 0.1%
(Missing) 6796
 
13.6%
ValueCountFrequency (%)
0 42934
85.9%
1 230
 
0.5%
2 16
 
< 0.1%
3 6
 
< 0.1%
4 12
 
< 0.1%
5 2
 
< 0.1%
6 3
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
6 3
 
< 0.1%
5 2
 
< 0.1%
4 12
 
< 0.1%
3 6
 
< 0.1%
2 16
 
< 0.1%
1 230
 
0.5%
0 42934
85.9%

AMT_REQ_CREDIT_BUREAU_WEEK
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing6796
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean0.03545968
Minimum0
Maximum6
Zeros41773
Zeros (%)83.5%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:27.943989image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.20713807
Coefficient of variation (CV)5.84151
Kurtosis129.14885
Mean0.03545968
Median Absolute Deviation (MAD)0
Skewness8.6128131
Sum1532
Variance0.042906182
MonotonicityNot monotonic
2024-09-01T13:14:27.980502image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 41773
83.5%
1 1379
 
2.8%
2 28
 
0.1%
3 9
 
< 0.1%
4 8
 
< 0.1%
5 4
 
< 0.1%
6 3
 
< 0.1%
(Missing) 6796
 
13.6%
ValueCountFrequency (%)
0 41773
83.5%
1 1379
 
2.8%
2 28
 
0.1%
3 9
 
< 0.1%
4 8
 
< 0.1%
5 4
 
< 0.1%
6 3
 
< 0.1%
ValueCountFrequency (%)
6 3
 
< 0.1%
5 4
 
< 0.1%
4 8
 
< 0.1%
3 9
 
< 0.1%
2 28
 
0.1%
1 1379
 
2.8%
0 41773
83.5%

AMT_REQ_CREDIT_BUREAU_MON
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing6796
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean0.26962781
Minimum0
Maximum22
Zeros36131
Zeros (%)72.3%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:28.021112image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.92830391
Coefficient of variation (CV)3.4429086
Kurtosis83.734093
Mean0.26962781
Median Absolute Deviation (MAD)0
Skewness7.5929104
Sum11649
Variance0.86174816
MonotonicityNot monotonic
2024-09-01T13:14:28.059054image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 36131
72.3%
1 5360
 
10.7%
2 828
 
1.7%
3 328
 
0.7%
4 184
 
0.4%
5 94
 
0.2%
6 62
 
0.1%
7 55
 
0.1%
9 41
 
0.1%
8 36
 
0.1%
Other values (9) 85
 
0.2%
(Missing) 6796
 
13.6%
ValueCountFrequency (%)
0 36131
72.3%
1 5360
 
10.7%
2 828
 
1.7%
3 328
 
0.7%
4 184
 
0.4%
5 94
 
0.2%
6 62
 
0.1%
7 55
 
0.1%
8 36
 
0.1%
9 41
 
0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
17 4
 
< 0.1%
16 3
 
< 0.1%
15 4
 
< 0.1%
14 7
 
< 0.1%
13 10
 
< 0.1%
12 14
 
< 0.1%
11 15
 
< 0.1%
10 27
0.1%
9 41
0.1%

AMT_REQ_CREDIT_BUREAU_QRT
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing6796
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean0.26067031
Minimum0
Maximum7
Zeros35085
Zeros (%)70.2%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:28.094213image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.60913604
Coefficient of variation (CV)2.3368064
Kurtosis9.2943944
Mean0.26067031
Median Absolute Deviation (MAD)0
Skewness2.7499297
Sum11262
Variance0.37104671
MonotonicityNot monotonic
2024-09-01T13:14:28.133248image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 35085
70.2%
1 5494
 
11.0%
2 2249
 
4.5%
3 271
 
0.5%
4 78
 
0.2%
5 19
 
< 0.1%
6 6
 
< 0.1%
7 2
 
< 0.1%
(Missing) 6796
 
13.6%
ValueCountFrequency (%)
0 35085
70.2%
1 5494
 
11.0%
2 2249
 
4.5%
3 271
 
0.5%
4 78
 
0.2%
5 19
 
< 0.1%
6 6
 
< 0.1%
7 2
 
< 0.1%
ValueCountFrequency (%)
7 2
 
< 0.1%
6 6
 
< 0.1%
5 19
 
< 0.1%
4 78
 
0.2%
3 271
 
0.5%
2 2249
 
4.5%
1 5494
 
11.0%
0 35085
70.2%

AMT_REQ_CREDIT_BUREAU_YEAR
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct20
Distinct (%)< 0.1%
Missing6796
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean1.8967225
Minimum0
Maximum23
Zeros11677
Zeros (%)23.4%
Negative0
Negative (%)0.0%
Memory size781.2 KiB
2024-09-01T13:14:28.174541image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum23
Range23
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8682205
Coefficient of variation (CV)0.98497301
Kurtosis2.5857019
Mean1.8967225
Median Absolute Deviation (MAD)1
Skewness1.28622
Sum81946
Variance3.4902478
MonotonicityNot monotonic
2024-09-01T13:14:28.213182image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 11677
23.4%
1 10300
20.6%
2 8169
16.3%
3 5457
10.9%
4 3325
 
6.7%
5 1968
 
3.9%
6 1179
 
2.4%
7 608
 
1.2%
8 334
 
0.7%
9 166
 
0.3%
Other values (10) 21
 
< 0.1%
(Missing) 6796
13.6%
ValueCountFrequency (%)
0 11677
23.4%
1 10300
20.6%
2 8169
16.3%
3 5457
10.9%
4 3325
 
6.7%
5 1968
 
3.9%
6 1179
 
2.4%
7 608
 
1.2%
8 334
 
0.7%
9 166
 
0.3%
ValueCountFrequency (%)
23 1
 
< 0.1%
22 1
 
< 0.1%
20 1
 
< 0.1%
18 3
< 0.1%
17 2
 
< 0.1%
14 1
 
< 0.1%
13 2
 
< 0.1%
12 3
< 0.1%
11 2
 
< 0.1%
10 5
< 0.1%

Correlations

2024-09-01T13:14:28.300998image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
AMT_ANNUITYAMT_CREDITAMT_GOODS_PRICEAMT_INCOME_TOTALAMT_REQ_CREDIT_BUREAU_DAYAMT_REQ_CREDIT_BUREAU_HOURAMT_REQ_CREDIT_BUREAU_MONAMT_REQ_CREDIT_BUREAU_QRTAMT_REQ_CREDIT_BUREAU_WEEKAMT_REQ_CREDIT_BUREAU_YEARAPARTMENTS_AVGAPARTMENTS_MEDIAPARTMENTS_MODEBASEMENTAREA_AVGBASEMENTAREA_MEDIBASEMENTAREA_MODECNT_CHILDRENCNT_FAM_MEMBERSCODE_GENDERCOMMONAREA_AVGCOMMONAREA_MEDICOMMONAREA_MODEDAYS_BIRTHDAYS_EMPLOYEDDAYS_ID_PUBLISHDAYS_LAST_PHONE_CHANGEDAYS_REGISTRATIONDEF_30_CNT_SOCIAL_CIRCLEDEF_60_CNT_SOCIAL_CIRCLEELEVATORS_AVGELEVATORS_MEDIELEVATORS_MODEEMERGENCYSTATE_MODEENTRANCES_AVGENTRANCES_MEDIENTRANCES_MODEEXT_SOURCE_1EXT_SOURCE_2EXT_SOURCE_3FLAG_CONT_MOBILEFLAG_DOCUMENT_10FLAG_DOCUMENT_11FLAG_DOCUMENT_12FLAG_DOCUMENT_13FLAG_DOCUMENT_14FLAG_DOCUMENT_15FLAG_DOCUMENT_16FLAG_DOCUMENT_17FLAG_DOCUMENT_18FLAG_DOCUMENT_19FLAG_DOCUMENT_2FLAG_DOCUMENT_20FLAG_DOCUMENT_21FLAG_DOCUMENT_3FLAG_DOCUMENT_4FLAG_DOCUMENT_5FLAG_DOCUMENT_6FLAG_DOCUMENT_7FLAG_DOCUMENT_8FLAG_DOCUMENT_9FLAG_EMAILFLAG_EMP_PHONEFLAG_OWN_CARFLAG_OWN_REALTYFLAG_PHONEFLAG_WORK_PHONEFLOORSMAX_AVGFLOORSMAX_MEDIFLOORSMAX_MODEFLOORSMIN_AVGFLOORSMIN_MEDIFLOORSMIN_MODEFONDKAPREMONT_MODEHOUR_APPR_PROCESS_STARTHOUSETYPE_MODELANDAREA_AVGLANDAREA_MEDILANDAREA_MODELIVE_CITY_NOT_WORK_CITYLIVE_REGION_NOT_WORK_REGIONLIVINGAPARTMENTS_AVGLIVINGAPARTMENTS_MEDILIVINGAPARTMENTS_MODELIVINGAREA_AVGLIVINGAREA_MEDILIVINGAREA_MODENAME_CONTRACT_TYPENAME_EDUCATION_TYPENAME_FAMILY_STATUSNAME_HOUSING_TYPENAME_INCOME_TYPENAME_TYPE_SUITENONLIVINGAPARTMENTS_AVGNONLIVINGAPARTMENTS_MEDINONLIVINGAPARTMENTS_MODENONLIVINGAREA_AVGNONLIVINGAREA_MEDINONLIVINGAREA_MODEOBS_30_CNT_SOCIAL_CIRCLEOBS_60_CNT_SOCIAL_CIRCLEOCCUPATION_TYPEOWN_CAR_AGEREGION_POPULATION_RELATIVEREGION_RATING_CLIENTREGION_RATING_CLIENT_W_CITYREG_CITY_NOT_LIVE_CITYREG_CITY_NOT_WORK_CITYREG_REGION_NOT_LIVE_REGIONREG_REGION_NOT_WORK_REGIONSK_ID_CURRTARGETTOTALAREA_MODEWALLSMATERIAL_MODEWEEKDAY_APPR_PROCESS_STARTYEARS_BEGINEXPLUATATION_AVGYEARS_BEGINEXPLUATATION_MEDIYEARS_BEGINEXPLUATATION_MODEYEARS_BUILD_AVGYEARS_BUILD_MEDIYEARS_BUILD_MODE
AMT_ANNUITY1.0000.8280.8250.4820.0040.0000.0500.0150.0200.0110.0650.0630.0570.0360.0330.0240.0250.0960.0510.0420.0410.0320.009-0.1250.012-0.0690.039-0.022-0.0260.0930.0910.0870.0000.0150.0130.0060.1080.1210.0100.0190.0000.0430.0000.0430.1470.0000.0230.0000.0310.0000.0000.0120.0100.1330.0170.0000.0820.0170.1200.0400.0620.1110.1290.0000.0230.0170.0960.0940.0920.0740.0730.0690.0000.0590.000-0.013-0.014-0.0220.0200.0670.0670.0650.0570.0810.0790.0700.2400.0680.0620.0140.0580.0120.0260.0240.0170.0440.0400.031-0.013-0.0130.066-0.0920.0560.1150.1180.0060.0180.0450.0730.0050.0290.0750.0210.0000.0370.0360.0340.0340.0320.029
AMT_CREDIT0.8281.0000.9850.409-0.0030.0000.0440.0160.005-0.0280.0510.0490.0430.0340.0330.0260.0010.0770.0150.0350.0350.026-0.066-0.117-0.008-0.0830.007-0.023-0.0290.0730.0720.0680.0000.0130.0110.0060.1670.1240.0170.0210.0000.1500.0120.0880.1020.0530.0770.0210.0620.0250.0000.0470.0150.1410.0130.0080.0520.0000.0820.0290.0070.0690.1090.0490.0360.0170.0730.0730.0710.0610.0610.0590.0000.0580.000-0.011-0.013-0.0190.0170.0490.0510.0500.0420.0640.0620.0540.2680.0680.0680.0260.0440.0120.0150.0130.0080.0290.0260.019-0.001-0.0010.057-0.0860.0550.0990.1020.0250.0230.0270.0520.0040.0390.0600.0100.0000.0380.0380.0370.0340.0330.031
AMT_GOODS_PRICE0.8250.9851.0000.413-0.0020.0000.0450.0180.005-0.0300.0580.0560.0510.0390.0380.030-0.0040.0760.0110.0380.0370.028-0.070-0.119-0.010-0.0870.006-0.023-0.0280.0780.0770.0730.0000.0170.0150.0090.1780.1340.0250.0190.0000.1520.0170.0830.0940.0630.0770.0220.0630.0270.0000.0330.0140.1300.0150.0000.0510.0000.0790.0290.0180.0640.1110.0530.0470.0260.0800.0790.0770.0640.0640.0620.0060.0650.000-0.005-0.007-0.0140.0130.0490.0570.0560.0480.0710.0690.0600.2480.0720.0780.0260.0420.0100.0180.0150.0090.0320.0290.021-0.001-0.0010.060-0.0980.0650.0940.0970.0240.0170.0250.0510.0050.0400.0670.0090.0040.0430.0430.0420.0370.0360.034
AMT_INCOME_TOTAL0.4820.4090.4131.0000.0060.0000.0720.0240.0150.0740.1190.1170.1070.0530.0510.0350.0370.0430.0000.0670.0660.0530.083-0.1670.029-0.0670.071-0.033-0.0340.1630.1600.1540.0000.0200.0190.0070.0740.170-0.0980.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0000.0000.0000.1670.1650.1600.1110.1090.1021.0000.1090.000-0.029-0.031-0.0390.0000.0000.1100.1080.0950.1360.1330.1180.0000.0000.0000.0000.0000.0000.0420.0400.0280.0710.0660.049-0.028-0.0270.000-0.2000.0920.0000.0000.0000.0000.0000.0000.0030.0140.1340.0000.0000.0570.0560.0520.0500.0490.045
AMT_REQ_CREDIT_BUREAU_DAY0.004-0.003-0.0020.0061.0000.394-0.013-0.0150.0610.0050.0080.0080.0070.0090.0100.006-0.002-0.0020.0000.0110.0100.009-0.0010.004-0.002-0.001-0.001-0.0010.0020.0020.0020.0030.000-0.001-0.001-0.0010.0030.001-0.0040.0000.0000.0000.0000.0000.0580.0000.0110.0000.0130.0001.0000.0000.0000.0060.0000.0000.0160.0000.0110.0000.0100.0100.0080.0000.0000.0000.0030.0030.0030.0070.0070.0080.000-0.0040.000-0.002-0.001-0.0030.0070.0000.0120.0120.012-0.000-0.000-0.0020.0000.0000.0000.0000.0000.0000.0140.0120.0100.0030.0030.000-0.001-0.0010.0000.0020.0050.0080.0070.0000.0000.0090.000-0.0030.0000.0010.0110.012-0.001-0.001-0.003-0.003-0.003-0.005
AMT_REQ_CREDIT_BUREAU_HOUR0.0000.0000.0000.0000.3941.0000.0000.0000.0000.0000.0210.0210.0230.0000.0000.0000.0000.0000.0000.0060.0080.0120.0110.0000.0000.0000.0000.0000.0000.0300.0300.0230.0000.0000.0000.0000.0000.0130.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0150.0000.0000.0080.0000.0050.0150.0190.0220.0270.0270.0220.0000.0180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0300.0300.0290.0000.0140.0000.0180.0000.0000.0000.0000.0130.0080.0040.0000.0000.0000.0000.0020.0080.0090.0080.0150.0080.0000.0000.0040.0000.0300.0210.0210.0230.0250.0220.0210.0120.011
AMT_REQ_CREDIT_BUREAU_MON0.0500.0440.0450.072-0.0130.0001.000-0.034-0.0280.0260.0250.0240.0230.0190.0180.017-0.011-0.0080.0060.0050.0060.0050.017-0.039-0.007-0.044-0.0120.0090.0060.0320.0310.0320.0000.0090.0090.0080.0050.041-0.0160.0000.0000.0000.0000.0220.0000.0120.0170.0000.0000.0001.0000.0000.0000.0000.0420.0000.0090.0000.0030.0080.0000.0230.0130.0080.0250.0000.0320.0310.0320.0170.0170.0140.0290.0340.0000.0130.0120.0120.0130.0140.0280.0280.0260.0260.0250.0230.0000.0090.0000.0080.0190.0250.0040.0020.0010.0170.0140.008-0.004-0.0040.000-0.0180.0470.0610.0580.0000.0200.0000.008-0.0010.0110.0240.0100.0000.0040.0040.0040.0090.0080.009
AMT_REQ_CREDIT_BUREAU_QRT0.0150.0160.0180.024-0.0150.000-0.0341.000-0.0310.089-0.012-0.011-0.009-0.008-0.009-0.005-0.0080.0020.000-0.018-0.017-0.014-0.0110.019-0.006-0.010-0.007-0.003-0.001-0.015-0.016-0.0140.007-0.003-0.003-0.0020.001-0.000-0.0200.0070.0050.0060.0000.0000.0120.0250.0210.0000.0030.0001.0000.0000.0000.0080.0000.0030.0110.0000.0000.0000.0310.0160.0110.0220.0130.034-0.012-0.013-0.0120.0010.0020.0020.007-0.0000.004-0.010-0.010-0.0080.0160.014-0.015-0.016-0.013-0.013-0.013-0.0110.0300.0080.0110.0050.0070.000-0.017-0.015-0.015-0.011-0.009-0.0080.0010.0000.000-0.025-0.0030.0040.0080.0100.0100.0130.010-0.0050.020-0.0130.0000.000-0.003-0.004-0.003-0.005-0.005-0.003
AMT_REQ_CREDIT_BUREAU_WEEK0.0200.0050.0050.0150.0610.000-0.028-0.0311.0000.0180.0140.0140.0120.0250.0230.021-0.005-0.0060.0000.0060.0050.004-0.0080.011-0.004-0.0060.000-0.010-0.0070.0090.0090.0090.0000.0060.0060.0060.0070.001-0.0270.0000.0000.0280.0000.0000.0410.0000.0180.0000.0000.0001.0000.0000.0000.0170.0000.0000.0060.0000.0000.0000.0220.0110.0110.0180.0070.0060.0090.0090.0090.0120.0120.0110.000-0.0080.0000.0130.0140.0140.0080.0000.0160.0160.0140.0150.0160.0140.0200.0000.0000.0000.0000.0000.0160.0150.0170.0060.0070.004-0.004-0.0040.0090.004-0.0070.0120.0120.0040.0000.0040.0060.0130.0000.0140.0140.0080.0060.0060.0050.0080.0070.007
AMT_REQ_CREDIT_BUREAU_YEAR0.011-0.028-0.0300.0740.0050.0000.0260.0890.0181.000-0.019-0.019-0.018-0.011-0.010-0.012-0.040-0.0200.018-0.012-0.012-0.012-0.0600.005-0.037-0.150-0.0150.0140.017-0.026-0.026-0.0250.002-0.011-0.011-0.012-0.001-0.027-0.0580.0150.0140.0250.0000.0180.0190.0000.0390.0000.0290.0001.0000.0070.0000.0380.0000.0060.0170.0000.0230.0290.0490.0530.0290.0480.0310.067-0.020-0.019-0.019-0.017-0.016-0.0160.012-0.0390.000-0.009-0.008-0.0090.0010.002-0.030-0.029-0.030-0.020-0.020-0.0190.0480.0290.0150.0000.0240.002-0.017-0.014-0.014-0.009-0.007-0.0070.0190.0200.0180.0130.0090.0080.0090.0000.0000.0000.0010.0040.015-0.0180.0070.005-0.016-0.017-0.017-0.016-0.016-0.017
APARTMENTS_AVG0.0650.0510.0580.1190.0080.0210.025-0.0120.014-0.0191.0000.9960.9680.7000.6950.658-0.016-0.0090.0100.5770.5740.5520.002-0.021-0.006-0.0040.008-0.019-0.0250.6930.6900.6790.0800.5650.5580.5190.0540.0940.0070.0250.0000.0300.0520.0350.0240.0080.0190.0720.0140.0000.0000.0000.0000.0470.0000.0000.0200.0000.0560.0200.0320.0290.0260.0250.0600.0260.7570.7560.7530.4820.4800.4680.0420.0770.0600.4370.4340.4070.0830.0130.9760.9720.9470.9070.9030.8770.0230.0390.0070.0080.0220.0190.2690.2690.2520.2340.2290.208-0.020-0.0190.019-0.0700.1430.1310.1330.0550.0980.0240.0000.0070.0230.9020.1430.0000.4430.4410.4420.4190.4170.419
APARTMENTS_MEDI0.0630.0490.0560.1170.0080.0210.024-0.0110.014-0.0190.9961.0000.9730.6970.6960.663-0.017-0.0100.0110.5720.5730.5540.003-0.021-0.006-0.0030.009-0.019-0.0260.6840.6870.6770.0800.5650.5630.5260.0540.0920.0070.0070.0000.0290.0500.0350.0150.0110.0180.0780.0130.0000.0000.0000.0000.0440.0000.0000.0170.0000.0590.0190.0320.0310.0280.0260.0580.0270.7510.7530.7510.4770.4760.4660.0430.0770.0600.4370.4360.4120.0830.0060.9710.9730.9490.9030.9060.8810.0200.0400.0030.0090.0230.0180.2650.2690.2540.2280.2300.213-0.019-0.0190.022-0.0690.1400.1290.1300.0550.0980.0150.0000.0090.0230.8960.1420.0000.4410.4390.4410.4160.4140.416
APARTMENTS_MODE0.0570.0430.0510.1070.0070.0230.023-0.0090.012-0.0180.9680.9731.0000.6780.6780.685-0.014-0.0070.0130.5490.5510.5580.002-0.021-0.008-0.0030.006-0.017-0.0250.6380.6440.6620.0770.5600.5600.5600.0520.0840.0040.0000.0000.0340.0510.0350.0100.0150.0180.0810.0110.0000.0000.0000.0000.0420.0000.0000.0150.0000.0550.0210.0270.0250.0320.0220.0540.0210.7210.7230.7380.4500.4500.4520.0380.0730.0570.4350.4360.4380.0780.0100.9330.9360.9570.8730.8780.8950.0150.0370.0030.0080.0190.0170.2400.2500.2610.2030.2110.226-0.016-0.0150.021-0.0610.1290.1110.1140.0500.0910.0150.0000.0090.0220.8770.1400.0000.4230.4220.4380.3880.3870.402
BASEMENTAREA_AVG0.0360.0340.0390.0530.0090.0000.019-0.0080.025-0.0110.7000.6970.6781.0000.9950.961-0.0040.0010.0190.4800.4780.465-0.001-0.013-0.012-0.008-0.028-0.018-0.0240.4220.4190.4110.0430.6660.6590.6210.0380.0420.0010.0000.0000.0280.0560.0420.0590.0290.0110.0850.0200.0000.0000.0390.0000.0280.0000.0000.0000.0000.0300.0220.0230.0000.0200.0080.0510.0000.4330.4320.4330.2710.2700.2650.0470.0310.0320.4090.4060.3860.0470.0080.6890.6880.6740.7170.7130.6940.0070.0240.0100.0000.0000.0160.1840.1850.1760.1740.1720.161-0.012-0.0110.021-0.0310.0680.0700.0710.0310.0530.0000.0000.0090.0190.7100.1120.0090.3130.3120.3150.3050.3030.308
BASEMENTAREA_MEDI0.0330.0330.0380.0510.0100.0000.018-0.0090.023-0.0100.6950.6960.6780.9951.0000.965-0.0050.0000.0180.4750.4760.464-0.000-0.013-0.012-0.006-0.028-0.020-0.0240.4140.4130.4070.0410.6660.6650.6280.0380.0400.0000.0000.0000.0270.0560.0210.0590.0290.0140.0850.0200.0000.0000.0400.0000.0270.0000.0000.0000.0000.0280.0220.0200.0000.0180.0060.0500.0000.4250.4250.4260.2640.2630.2590.0470.0310.0320.4090.4070.3890.0470.0100.6830.6850.6730.7100.7110.6950.0090.0240.0110.0000.0000.0120.1790.1840.1770.1680.1710.164-0.011-0.0110.022-0.0300.0650.0660.0670.0290.0520.0000.0050.0090.0200.7030.1100.0070.3090.3080.3120.2990.2980.303
BASEMENTAREA_MODE0.0240.0260.0300.0350.0060.0000.017-0.0050.021-0.0120.6580.6630.6850.9610.9651.000-0.0020.0030.0080.4490.4530.4700.001-0.013-0.012-0.005-0.027-0.018-0.0240.3660.3710.3870.0410.6490.6490.6530.0310.026-0.0000.0000.0000.0280.0540.0160.0430.0200.0000.0890.0370.0000.0000.0390.0000.0180.0000.0000.0000.0000.0250.0410.0000.0000.0170.0000.0420.0000.3870.3910.4050.2390.2400.2470.0410.0220.0310.4070.4080.4200.0440.0110.6410.6450.6700.6710.6760.7000.0000.0260.0080.0000.0000.0130.1510.1650.1870.1380.1520.182-0.006-0.0050.022-0.0220.0420.0510.0520.0260.0480.0000.0100.0100.0140.6720.1090.0000.2920.2920.3120.2800.2800.299
CNT_CHILDREN0.0250.001-0.0040.037-0.0020.000-0.011-0.008-0.005-0.040-0.016-0.017-0.014-0.004-0.005-0.0021.0000.8100.021-0.003-0.003-0.0010.366-0.159-0.016-0.0100.175-0.005-0.004-0.011-0.010-0.0090.016-0.011-0.012-0.010-0.158-0.023-0.0490.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0060.0000.0000.0340.0000.0290.0930.0000.0370.0070.0110.1430.0700.0110.0090.051-0.016-0.015-0.015-0.016-0.015-0.0140.029-0.0010.000-0.001-0.0020.0010.0590.002-0.017-0.018-0.014-0.017-0.017-0.0160.0140.0050.0670.0090.0550.0130.0010.0030.0050.0010.0020.0040.0200.0190.0170.009-0.0230.0250.0250.0140.0480.0000.0000.0000.014-0.0120.0060.0050.0120.0130.0110.0170.0170.016
CNT_FAM_MEMBERS0.0960.0770.0760.043-0.0020.000-0.0080.002-0.006-0.020-0.009-0.010-0.0070.0010.0000.0030.8101.0000.0460.0090.0100.0130.275-0.175-0.007-0.0350.153-0.007-0.0080.0010.0020.0050.005-0.001-0.0010.002-0.110-0.005-0.0260.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0080.0000.0000.0540.0000.0290.1620.0000.0590.0000.0240.2490.1150.0110.0350.059-0.002-0.0010.000-0.001-0.0000.0030.029-0.0110.0000.0070.0070.0100.0740.014-0.009-0.009-0.005-0.003-0.003-0.0010.0350.0210.1620.0070.0950.021-0.003-0.002-0.000-0.005-0.004-0.0030.0250.0250.0270.003-0.0150.0270.0280.0280.0700.0030.006-0.0020.015-0.0020.0070.0050.0250.0260.0240.0310.0300.029
CODE_GENDER0.0510.0150.0110.0000.0000.0000.0060.0000.0000.0180.0100.0110.0130.0190.0180.0080.0210.0461.0000.0140.0100.0180.1090.1580.0360.0270.0610.0090.0040.0300.0330.0300.0050.0050.0040.0000.3170.0120.0130.0050.0000.0100.0000.0410.0000.0210.0000.0120.0310.0020.0000.0050.0240.0920.0000.0000.1010.0000.2550.0030.0220.1580.3370.0460.0090.0430.0130.0090.0110.0280.0260.0250.0110.0140.0070.0000.0090.0100.1300.1080.0170.0160.0270.0210.0200.0210.0150.0190.1190.0510.1190.0440.0170.0170.0180.0150.0140.0020.0060.0050.5720.0820.0100.0120.0110.0510.1350.0250.1060.0000.0550.0270.0070.0000.0000.0000.0130.0250.0190.018
COMMONAREA_AVG0.0420.0350.0380.0670.0110.0060.005-0.0180.006-0.0120.5770.5720.5490.4800.4750.449-0.0030.0090.0141.0000.9970.9670.005-0.014-0.009-0.0050.0250.001-0.0030.4640.4630.4540.0170.3410.3360.3040.0200.0290.0100.0360.0000.0000.0150.0390.0330.0280.0270.0000.0370.0000.0000.0000.0000.0270.0000.0000.0000.0160.0590.0370.0270.0000.0170.0000.0500.0070.4920.4930.4870.3440.3420.3340.0310.0190.0000.3280.3260.3040.0250.0410.5790.5760.5600.5780.5740.5520.0000.0280.0000.0000.0080.0000.2470.2460.2310.1760.1750.160-0.002-0.0020.030-0.0350.0430.1120.1110.0000.0260.0390.0330.0050.0090.6200.0710.0000.3480.3470.3450.3450.3440.344
COMMONAREA_MEDI0.0410.0350.0370.0660.0100.0080.006-0.0170.005-0.0120.5740.5730.5510.4780.4760.453-0.0030.0100.0100.9971.0000.9710.006-0.015-0.007-0.0040.0270.000-0.0040.4590.4620.4530.0170.3400.3370.3060.0200.0270.0100.0410.0000.0000.0150.0420.0360.0280.0260.0000.0510.0000.0000.0000.0000.0260.0000.0000.0080.0150.0550.0340.0330.0000.0220.0000.0500.0000.4890.4910.4850.3400.3400.3320.0320.0180.0000.3290.3270.3080.0250.0410.5760.5760.5620.5760.5740.5550.0000.0290.0000.0000.0060.0000.2430.2470.2340.1720.1760.164-0.001-0.0010.028-0.0350.0390.1120.1110.0000.0260.0390.0310.0040.0110.6170.0710.0040.3480.3470.3460.3460.3450.345
COMMONAREA_MODE0.0320.0260.0280.0530.0090.0120.005-0.0140.004-0.0120.5520.5540.5580.4650.4640.470-0.0010.0130.0180.9670.9711.0000.004-0.017-0.008-0.0040.023-0.001-0.0060.4240.4320.4390.0160.3410.3400.3340.0170.0170.0090.0480.0000.0000.0160.0400.0420.0280.0260.0000.0180.0000.0000.0000.0000.0120.0000.0000.0090.0170.0470.0220.0210.0010.0250.0000.0430.0000.4580.4610.4680.3220.3220.3260.0310.0110.0000.3320.3330.3380.0190.0360.5530.5550.5680.5520.5540.5630.0000.0290.0000.0000.0000.0000.2220.2350.2480.1460.1620.1810.0050.0050.025-0.0250.0240.0950.0960.0000.0220.0300.0220.0030.0130.6000.0690.0000.3310.3300.3410.3290.3280.341
DAYS_BIRTH0.009-0.066-0.0700.083-0.0010.0110.017-0.011-0.008-0.0600.0020.0030.002-0.001-0.0000.0010.3660.2750.1090.0050.0060.0041.000-0.2230.2700.0730.2950.0040.007-0.001-0.001-0.0010.018-0.013-0.013-0.012-0.603-0.101-0.2130.0130.0000.0670.0000.0250.0260.0110.0330.0170.0550.0000.0000.0000.0550.2130.0080.0150.4960.0060.1230.0240.0940.7530.1540.1310.0410.196-0.003-0.002-0.002-0.001-0.0000.0000.0210.0940.0230.0060.0050.0070.1860.0870.0080.0080.010-0.003-0.003-0.0030.1250.1190.1840.1240.2850.0280.0180.0200.0190.0160.0160.0150.0240.0230.073-0.024-0.0300.0200.0230.1820.2500.0620.1010.0010.079-0.0030.0170.0160.0140.0140.0130.0180.0190.018
DAYS_EMPLOYED-0.125-0.117-0.119-0.1670.0040.000-0.0390.0190.0110.005-0.021-0.021-0.021-0.013-0.013-0.013-0.159-0.1750.158-0.014-0.015-0.017-0.2231.000-0.1140.119-0.0320.0210.022-0.012-0.013-0.0130.000-0.011-0.011-0.014-0.031-0.080-0.0080.0150.0000.0290.0000.0260.0230.0120.0430.0060.0390.0100.0000.0090.0060.2490.0000.0130.5920.0000.1220.0230.0641.0000.1520.0700.0110.234-0.014-0.014-0.015-0.021-0.021-0.0240.023-0.0540.020-0.013-0.013-0.0120.2200.096-0.017-0.018-0.020-0.022-0.022-0.0210.0520.1420.2650.1101.0000.053-0.012-0.013-0.016-0.008-0.010-0.010-0.003-0.0031.0000.041-0.0070.0390.0420.0920.2560.0360.1080.0020.045-0.0190.0250.030-0.006-0.006-0.006-0.002-0.002-0.002
DAYS_ID_PUBLISH0.012-0.008-0.0100.029-0.0020.000-0.007-0.006-0.004-0.037-0.006-0.006-0.008-0.012-0.012-0.012-0.016-0.0070.036-0.009-0.007-0.0080.270-0.1141.0000.0800.0980.0090.010-0.011-0.011-0.0110.017-0.022-0.023-0.023-0.145-0.053-0.1330.0040.0000.0210.0000.0060.0030.0060.0070.0080.0110.0000.0010.0000.0200.0710.0000.0100.1990.0050.0320.0180.0340.3110.0230.0400.0340.071-0.010-0.011-0.012-0.010-0.010-0.0110.0180.0340.007-0.006-0.006-0.0080.0660.029-0.005-0.004-0.005-0.011-0.011-0.0120.0630.0440.0580.0450.1180.0120.0060.0070.0020.0100.0100.0070.0030.0020.028-0.017-0.0150.0240.0230.0830.1080.0370.046-0.0020.049-0.0110.0140.008-0.015-0.015-0.017-0.010-0.010-0.011
DAYS_LAST_PHONE_CHANGE-0.069-0.083-0.087-0.067-0.0010.000-0.044-0.010-0.006-0.150-0.004-0.003-0.003-0.008-0.006-0.005-0.010-0.0350.027-0.005-0.004-0.0040.0730.1190.0801.0000.0580.0050.004-0.003-0.002-0.0010.008-0.017-0.016-0.015-0.113-0.205-0.0570.0370.0000.0550.0000.0280.0240.0150.0620.0000.0640.0000.0000.0190.0000.0680.0000.0140.0460.0000.0220.0210.0270.0380.0370.0510.0660.052-0.006-0.006-0.006-0.002-0.003-0.0040.000-0.0070.000-0.005-0.004-0.0020.0180.0210.0070.0070.010-0.008-0.007-0.0050.0700.0210.0320.0240.0180.011-0.006-0.008-0.010-0.007-0.006-0.006-0.009-0.0100.024-0.000-0.0420.0530.0490.0570.0460.0390.036-0.0020.066-0.0080.0060.0000.0030.0030.0030.0130.0130.014
DAYS_REGISTRATION0.0390.0070.0060.071-0.0010.000-0.012-0.0070.000-0.0150.0080.0090.006-0.028-0.028-0.0270.1750.1530.0610.0250.0270.0230.295-0.0320.0980.0581.0000.0060.0080.0110.0130.0140.000-0.067-0.067-0.065-0.150-0.063-0.1030.0090.0000.0130.0000.0020.0110.0000.0230.0000.0180.0020.0100.0000.0000.0530.0000.0000.1700.0000.0570.0110.0380.2600.0880.0540.0760.0760.0250.0260.026-0.0010.000-0.0020.017-0.0090.022-0.012-0.013-0.0130.0790.0310.0180.0190.016-0.007-0.006-0.0080.0240.0510.0620.0460.0980.0170.0410.0430.0410.0380.0400.0400.0190.0190.028-0.023-0.0430.0650.0620.0800.1130.0290.0400.0000.042-0.0030.0440.0100.1210.1200.1170.1360.1350.132
DEF_30_CNT_SOCIAL_CIRCLE-0.022-0.023-0.023-0.033-0.0010.0000.009-0.003-0.0100.014-0.019-0.019-0.017-0.018-0.020-0.018-0.005-0.0070.0090.0010.000-0.0010.0040.0210.0090.0050.0061.0000.846-0.037-0.038-0.0350.000-0.004-0.005-0.004-0.039-0.036-0.0350.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0060.0120.0000.0000.0050.0000.0180.0000.0120.0160.0220.0070.0230.000-0.035-0.035-0.034-0.022-0.021-0.0210.000-0.0110.0050.0100.0100.0080.0000.020-0.017-0.018-0.017-0.022-0.023-0.0210.0130.0170.0000.0000.0050.0020.002-0.0010.000-0.012-0.011-0.0070.3870.3890.0060.0230.0210.0220.0190.0000.0000.0050.020-0.0030.029-0.0240.0130.000-0.023-0.024-0.023-0.017-0.018-0.017
DEF_60_CNT_SOCIAL_CIRCLE-0.026-0.029-0.028-0.0340.0020.0000.006-0.001-0.0070.017-0.025-0.026-0.025-0.024-0.024-0.024-0.004-0.0080.004-0.003-0.004-0.0060.0070.0220.0100.0040.0080.8461.000-0.044-0.043-0.0420.008-0.010-0.011-0.010-0.038-0.038-0.0310.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0050.0000.0000.0030.0000.0130.0000.0000.0160.0210.0080.0210.014-0.040-0.040-0.039-0.022-0.021-0.0200.006-0.0120.0100.0030.0030.0010.0000.013-0.024-0.025-0.025-0.029-0.029-0.0280.0070.0170.0000.0000.0060.000-0.001-0.004-0.003-0.013-0.013-0.0110.3110.3130.0100.0230.0210.0210.0200.0000.0000.0050.0150.0010.026-0.0290.0150.005-0.025-0.026-0.026-0.023-0.023-0.023
ELEVATORS_AVG0.0930.0730.0780.1630.0020.0300.032-0.0150.009-0.0260.6930.6840.6380.4220.4140.366-0.0110.0010.0300.4640.4590.424-0.001-0.012-0.011-0.0030.011-0.037-0.0441.0000.9910.9690.0490.1650.1600.1200.0790.1270.0130.0260.0000.0330.0540.0460.0310.0190.0170.0440.0000.0000.0000.0000.0000.0580.0000.0090.0000.0000.0750.0000.0360.0050.0380.0000.0730.0260.8480.8410.8220.5740.5690.5470.0620.1120.0470.2370.2320.1990.0770.0280.6860.6800.6390.7240.7150.6660.0260.0530.0110.0000.0350.0100.2160.2090.1830.2220.2110.175-0.046-0.0450.027-0.1100.1860.1920.1880.0480.0880.0330.0230.0070.0390.7160.1450.0110.4820.4790.4680.4730.4710.463
ELEVATORS_MEDI0.0910.0720.0770.1600.0020.0300.031-0.0160.009-0.0260.6900.6870.6440.4190.4130.371-0.0100.0020.0330.4630.4620.432-0.001-0.013-0.011-0.0020.013-0.038-0.0430.9911.0000.9780.0480.1620.1600.1220.0800.1240.0140.0080.0000.0330.0540.0470.0230.0190.0170.0440.0000.0000.0000.0000.0000.0590.0000.0100.0000.0000.0760.0010.0350.0080.0370.0000.0710.0270.8430.8450.8260.5710.5710.5500.0630.1100.0470.2380.2350.2060.0750.0280.6830.6810.6450.7210.7170.6730.0270.0530.0130.0000.0350.0090.2090.2100.1880.2150.2130.183-0.044-0.0430.026-0.1090.1810.1890.1860.0480.0860.0330.0240.0080.0380.7150.1440.0110.4850.4840.4750.4760.4760.469
ELEVATORS_MODE0.0870.0680.0730.1540.0030.0230.032-0.0140.009-0.0250.6790.6770.6620.4110.4070.387-0.0090.0050.0300.4540.4530.439-0.001-0.013-0.011-0.0010.014-0.035-0.0420.9690.9781.0000.0460.1550.1530.1410.0780.1170.0130.0000.0000.0300.0390.0440.0200.0260.0180.0450.0000.0000.0000.0000.0000.0530.0000.0050.0000.0000.0690.0140.0320.0190.0390.0000.0600.0220.8290.8300.8320.5610.5610.5530.0560.1080.0450.2380.2350.2230.0690.0250.6690.6670.6540.7070.7050.6870.0230.0520.0130.0000.0350.0060.1940.1970.1910.1980.2000.193-0.043-0.0430.027-0.1080.1710.1670.1650.0470.0800.0330.0200.0060.0370.7050.1430.0100.4800.4790.4820.4690.4680.472
EMERGENCYSTATE_MODE0.0000.0000.0000.0000.0000.0000.0000.0070.0000.0020.0800.0800.0770.0430.0410.0410.0160.0050.0050.0170.0170.0160.0180.0000.0170.0080.0000.0000.0080.0490.0480.0461.0000.1190.1180.1130.0440.0210.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0020.0110.0000.0000.0000.0000.0150.0000.0000.0000.0150.0110.0160.0140.2170.2180.2210.1100.1110.1140.1480.0400.0490.0440.0440.0430.0090.0000.0510.0510.0500.0810.0810.0790.0040.0300.0130.0310.0240.0000.0000.0000.0000.0140.0140.0140.0100.0000.0100.0250.0500.0350.0340.0300.0140.0060.0000.0010.0000.0760.3270.0000.0220.0250.0000.1290.1300.129
ENTRANCES_AVG0.0150.0130.0170.020-0.0010.0000.009-0.0030.006-0.0110.5650.5650.5600.6660.6660.649-0.011-0.0010.0050.3410.3400.341-0.013-0.011-0.022-0.017-0.067-0.004-0.0100.1650.1620.1550.1191.0000.9940.9600.0290.0310.0110.0000.0000.0340.0490.0000.0000.0250.0080.0620.0000.0000.0000.0000.0000.0220.0000.0000.0170.0000.0150.0120.0000.0100.0270.0080.0450.0170.1910.1920.1990.0840.0830.0860.0460.0170.1040.4160.4150.4030.0340.0000.5380.5380.5350.6150.6140.6080.0000.0170.0000.0170.0040.0030.1300.1330.1330.1190.1210.121-0.001-0.0010.013-0.0160.0360.0430.0440.0280.0420.0130.0000.0010.0180.5940.1400.0080.1330.1330.1410.1020.1010.109
ENTRANCES_MEDI0.0130.0110.0150.019-0.0010.0000.009-0.0030.006-0.0110.5580.5630.5600.6590.6650.649-0.012-0.0010.0040.3360.3370.340-0.013-0.011-0.023-0.016-0.067-0.005-0.0110.1600.1600.1530.1180.9941.0000.9660.0300.0300.0110.0000.0000.0340.0490.0000.0000.0300.0080.0620.0000.0000.0000.0000.0000.0230.0000.0000.0150.0000.0170.0120.0000.0120.0260.0110.0450.0160.1850.1860.1930.0800.0790.0820.0450.0170.1030.4130.4140.4040.0350.0000.5310.5350.5330.6080.6130.6080.0000.0180.0000.0170.0040.0040.1250.1320.1320.1150.1210.123-0.001-0.0010.014-0.0160.0360.0430.0440.0280.0430.0120.0010.0010.0180.5870.1400.0080.1280.1270.1370.0960.0950.104
ENTRANCES_MODE0.0060.0060.0090.007-0.0010.0000.008-0.0020.006-0.0120.5190.5260.5600.6210.6280.653-0.0100.0020.0000.3040.3060.334-0.012-0.014-0.023-0.015-0.065-0.004-0.0100.1200.1220.1410.1130.9600.9661.0000.0240.0210.0080.0000.0000.0360.0500.0000.0000.0270.0090.0620.0000.0000.0000.0000.0000.0180.0000.0000.0130.0000.0110.0130.0000.0100.0260.0110.0380.0120.1490.1520.1740.0560.0560.0710.0390.0130.0970.4040.4060.4230.0340.0030.4820.4870.5210.5660.5730.6040.0000.0150.0000.0170.0040.0000.0980.1080.1370.0870.0970.1340.0030.0030.011-0.0100.0210.0310.0300.0250.0390.0100.0080.0030.0170.5520.1380.0060.1080.1080.1330.0720.0720.094
EXT_SOURCE_10.1080.1670.1780.0740.0030.0000.0050.0010.007-0.0010.0540.0540.0520.0380.0380.031-0.158-0.1100.3170.0200.0200.017-0.603-0.031-0.145-0.113-0.150-0.039-0.0380.0790.0800.0780.0440.0290.0300.0241.0000.2170.1660.0000.0000.0130.0000.0200.0100.0060.0240.0160.0240.0170.0000.0110.0290.0600.0000.0180.2190.0230.0580.0070.0170.3410.0730.0810.0750.0900.0830.0830.0820.0640.0630.0620.0110.0230.007-0.010-0.011-0.0130.1140.0190.0430.0440.0360.0710.0710.0660.0140.0730.1070.0800.1460.0140.0340.0320.0290.0390.0400.036-0.043-0.0430.100-0.1190.0670.0880.0840.1270.1760.0190.041-0.0020.1790.0710.0220.0030.0200.0200.0200.0040.0030.002
EXT_SOURCE_20.1210.1240.1340.1700.0010.0130.041-0.0000.001-0.0270.0940.0920.0840.0420.0400.026-0.023-0.0050.0120.0290.0270.017-0.101-0.080-0.053-0.205-0.063-0.036-0.0380.1270.1240.1170.0210.0310.0300.0210.2171.0000.0980.0220.0040.0130.0000.0370.0220.0090.0170.0080.0050.0000.0070.0090.0150.0470.0090.0000.0350.0000.0570.0280.0230.0350.0540.0100.0680.0220.1300.1280.1240.0940.0920.0860.0240.1610.024-0.013-0.014-0.0200.0690.0560.0770.0750.0640.1060.1040.0930.0210.0630.0200.0250.0400.0090.0300.0280.0240.0570.0530.041-0.021-0.0210.049-0.1310.1820.2590.2540.0410.0840.0390.062-0.0020.1740.1000.0240.0030.0280.0270.0250.0140.0130.012
EXT_SOURCE_30.0100.0170.025-0.098-0.0040.000-0.016-0.020-0.027-0.0580.0070.0070.0040.0010.000-0.000-0.049-0.0260.0130.0100.0100.009-0.213-0.008-0.133-0.057-0.103-0.035-0.0310.0130.0140.0130.0170.0110.0110.0080.1660.0981.0000.0120.0230.0160.0000.0130.0140.0000.0000.0000.0110.0001.0000.0240.0100.0390.0050.0000.0860.0190.0060.0000.0540.1250.0170.0400.0000.0650.0140.0150.0140.0150.0150.0140.000-0.0350.0000.0040.0040.0030.0500.0220.0090.0100.0080.0090.0090.0070.0080.0300.0260.0320.0580.019-0.014-0.017-0.021-0.003-0.004-0.011-0.011-0.0110.0090.034-0.0050.0220.0230.0780.0850.0530.047-0.0000.1820.0050.0060.0050.0120.0110.0100.0200.0190.016
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FLAG_DOCUMENT_100.0000.0000.0000.0000.0000.0000.0000.0050.0000.0140.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0230.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.0000.0000.0080.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.000
FLAG_DOCUMENT_110.0430.1500.1520.0000.0000.0000.0000.0060.0280.0250.0300.0290.0340.0280.0270.0280.0000.0000.0100.0000.0000.0000.0670.0290.0210.0550.0130.0000.0000.0330.0330.0300.0000.0340.0340.0360.0130.0130.0160.0000.0001.0000.0000.0000.0000.0000.0020.0000.0000.0000.0000.0000.0000.0930.0000.0050.0190.0000.0150.0000.0000.0290.0000.0380.0000.1230.0300.0310.0300.0410.0430.0430.0060.0100.0000.0400.0370.0370.0070.0060.0290.0320.0390.0360.0330.0350.0250.0370.0340.0270.0610.0260.0550.0550.0550.0290.0260.0280.0000.0000.0420.0200.0240.0120.0070.0540.0340.0890.0470.0040.0000.0340.0000.0290.0000.0000.0000.0000.0000.000
FLAG_DOCUMENT_120.0000.0120.0170.0000.0000.0000.0000.0000.0000.0000.0520.0500.0510.0560.0560.0540.0000.0000.0000.0150.0150.0160.0000.0000.0000.0000.0000.0000.0000.0540.0540.0390.0000.0490.0490.0500.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0050.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0180.0180.0190.0290.0080.0000.0720.0710.0700.0000.0000.0450.0430.0410.0770.0750.0770.0000.0000.0000.0000.0110.0000.0000.0000.0000.1380.1330.1360.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.0010.0000.0790.0000.0000.0000.0000.0000.0000.0000.000
FLAG_DOCUMENT_130.0430.0880.0830.0000.0000.0000.0220.0000.0000.0180.0350.0350.0350.0420.0210.0160.0000.0000.0410.0390.0420.0400.0250.0260.0060.0280.0020.0000.0000.0460.0470.0440.0000.0000.0000.0000.0200.0370.0130.0550.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0320.0000.0310.0000.0040.0180.0000.0950.0000.0030.0260.0810.0620.0150.0000.0400.0440.0440.0490.0580.0580.0000.0270.0000.0170.0160.0130.0000.0240.0480.0500.0650.0460.0440.0400.0020.0310.0100.0000.0430.0100.0120.0130.0140.0100.0000.0040.0000.0000.0310.1170.0480.0440.0440.0030.0050.0020.0190.0070.0110.0290.0000.0000.0000.0000.0000.0330.0340.035
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FLAG_DOCUMENT_150.0000.0530.0630.0000.0000.0000.0120.0250.0000.0000.0080.0110.0150.0290.0290.0200.0090.0000.0210.0280.0280.0280.0110.0120.0060.0150.0000.0000.0000.0190.0190.0260.0000.0250.0300.0270.0060.0090.0000.0010.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0310.0000.0000.0120.0490.0360.0070.0000.0190.0190.0170.0180.0190.0200.0110.0000.0000.0230.0210.0210.0000.0000.0000.0000.0000.0320.0300.0290.0080.0300.0060.0020.0140.0050.0000.0000.0000.0000.0000.0000.0230.0220.0420.0720.0210.0130.0120.0000.0000.0000.0000.0000.0090.0220.0120.0000.0000.0050.0000.0220.0210.024
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FLOORSMIN_AVG0.0740.0610.0640.1110.0070.0270.0170.0010.012-0.0170.4820.4770.4500.2710.2640.239-0.016-0.0010.0280.3440.3400.322-0.001-0.021-0.010-0.002-0.001-0.022-0.0220.5740.5710.5610.1100.0840.0800.0560.0640.0940.0150.0000.0000.0410.0180.0490.0280.0180.0110.0100.0240.0000.0000.0000.0000.0670.0000.0330.0000.0750.0810.0310.0460.0000.0320.0180.0670.0240.6610.6560.6451.0000.9960.9840.0530.1000.0610.1640.1610.1380.0690.0780.4950.4920.4720.5140.5100.4810.0360.0500.0160.0210.0480.0040.1670.1620.1440.1380.1290.098-0.033-0.0330.032-0.1240.1950.2150.2090.0440.0830.0360.076-0.0130.0290.4970.1930.0000.3480.3440.3400.3520.3500.345
FLOORSMIN_MEDI0.0730.0610.0640.1090.0070.0270.0170.0020.012-0.0160.4800.4760.4500.2700.2630.240-0.015-0.0000.0260.3420.3400.322-0.000-0.021-0.010-0.0030.000-0.021-0.0210.5690.5710.5610.1110.0830.0790.0560.0630.0920.0150.0000.0000.0430.0180.0580.0310.0190.0090.0120.0170.0000.0000.0040.0000.0670.0000.0310.0000.0740.0810.0320.0430.0050.0320.0160.0650.0220.6560.6570.6460.9961.0000.9870.0520.0990.0620.1650.1630.1410.0700.0780.4930.4910.4720.5120.5100.4810.0340.0500.0160.0210.0480.0050.1640.1620.1450.1340.1280.100-0.031-0.0310.033-0.1240.1910.2120.2060.0440.0840.0450.078-0.0120.0300.4950.1950.0000.3490.3460.3410.3540.3520.347
FLOORSMIN_MODE0.0690.0590.0620.1020.0080.0220.0140.0020.011-0.0160.4680.4660.4520.2650.2590.247-0.0140.0030.0250.3340.3320.3260.000-0.024-0.011-0.004-0.002-0.021-0.0200.5470.5500.5530.1140.0860.0820.0710.0620.0860.0140.0000.0000.0430.0190.0580.0280.0200.0110.0000.0070.0000.0000.0080.0000.0650.0000.0250.0000.0750.0790.0210.0380.0000.0320.0130.0610.0160.6350.6360.6400.9840.9871.0000.0620.0950.0640.1670.1650.1530.0700.0780.4820.4800.4740.4990.4970.4810.0330.0490.0160.0210.0460.0040.1510.1490.1470.1200.1170.105-0.029-0.0290.033-0.1210.1820.2030.1980.0440.0840.0420.078-0.0140.0290.4840.1980.0080.3370.3350.3380.3420.3410.345
FONDKAPREMONT_MODE0.0000.0000.0061.0000.0000.0000.0290.0070.0000.0120.0420.0430.0380.0470.0470.0410.0290.0290.0110.0310.0320.0310.0210.0230.0180.0000.0170.0000.0060.0620.0630.0560.1480.0460.0450.0390.0110.0240.0000.0160.0170.0060.0290.0000.0240.0110.0000.0310.0070.0000.0100.0000.0230.0000.0000.0000.0270.0000.0290.0160.0000.0230.0150.0220.0270.0170.0990.0990.0960.0530.0520.0621.0000.0220.0950.0450.0410.0370.0210.0000.0420.0430.0400.0470.0480.0470.0180.0170.0000.0300.0200.0000.0170.0170.0190.0480.0460.0470.0130.0100.0280.0300.0730.0410.0420.0200.0260.0000.0000.0170.0150.0520.1080.0000.0380.0290.0210.0830.0830.078
HOUR_APPR_PROCESS_START0.0590.0580.0650.109-0.0040.0180.034-0.000-0.008-0.0390.0770.0770.0730.0310.0310.022-0.001-0.0110.0140.0190.0180.0110.094-0.0540.034-0.007-0.009-0.011-0.0120.1120.1100.1080.0400.0170.0170.0130.0230.161-0.0350.0100.0000.0100.0080.0270.0340.0000.0260.0000.0200.0000.0000.0050.0180.0130.0000.0270.0710.0240.0440.0180.0220.1010.0220.1300.0690.0660.1060.1040.1030.1000.0990.0950.0221.0000.0070.001-0.001-0.0030.0300.0590.0670.0660.0590.0850.0840.0770.0480.0510.0230.0260.0460.0210.0290.0290.0230.0390.0380.033-0.018-0.0180.027-0.1360.1260.2260.2070.0190.0240.0530.0710.0000.0320.0760.0440.034-0.007-0.007-0.007-0.016-0.016-0.018
HOUSETYPE_MODE0.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0600.0600.0570.0320.0320.0310.0000.0000.0070.0000.0000.0000.0230.0200.0070.0000.0220.0050.0100.0470.0470.0450.0490.1040.1030.0970.0070.0240.0000.0000.0000.0000.0000.0000.0000.0000.0040.0160.0010.0000.0000.0000.0210.0220.0000.0040.0160.0000.0120.0000.0150.0200.0020.0330.0190.0110.1080.1090.1150.0610.0620.0640.0950.0071.0000.0250.0260.0250.0080.0040.0380.0360.0420.0440.0420.0400.0000.0190.0050.0160.0130.0120.0000.0000.0000.0180.0210.0220.0000.0000.0230.0000.0370.0320.0210.0230.0240.0000.0000.0150.0060.0370.1130.0080.0000.0000.0000.1200.1210.116
LANDAREA_AVG-0.013-0.011-0.005-0.029-0.0020.0000.013-0.0100.013-0.0090.4370.4370.4350.4090.4090.407-0.0010.0070.0000.3280.3290.3320.006-0.013-0.006-0.005-0.0120.0100.0030.2370.2380.2380.0440.4160.4130.404-0.010-0.0130.0040.0000.0000.0400.0720.0170.0000.0230.0000.0280.0060.0000.0000.0170.0000.0000.0000.0000.0150.0000.0260.0000.0060.0110.0090.0170.0240.0160.2720.2730.2780.1640.1650.1670.0450.0010.0251.0000.9960.9690.0440.0120.4030.4030.4050.4520.4520.4510.0090.0310.0130.0150.0120.0000.1260.1300.1340.0940.0990.1050.0200.0200.000-0.027-0.0690.0120.0160.0280.0500.0000.000-0.0030.0150.4490.0790.0000.2070.2070.2130.1960.1960.203
LANDAREA_MEDI-0.014-0.013-0.007-0.031-0.0010.0000.012-0.0100.014-0.0080.4340.4360.4360.4060.4070.408-0.0020.0070.0090.3260.3270.3330.005-0.013-0.006-0.004-0.0130.0100.0030.2320.2350.2350.0440.4150.4140.406-0.011-0.0140.0040.0000.0000.0370.0710.0160.0000.0210.0000.0280.0000.0000.0000.0340.0000.0000.0000.0000.0130.0000.0230.0000.0160.0100.0100.0070.0240.0280.2680.2700.2740.1610.1630.1650.041-0.0010.0260.9961.0000.9720.0420.0110.3990.4000.4040.4480.4500.4520.0000.0280.0130.0130.0110.0000.1230.1290.1350.0900.0980.1070.0200.0210.000-0.026-0.0720.0070.0080.0300.0490.0000.000-0.0040.0160.4460.0800.0000.2050.2050.2120.1940.1940.201
LANDAREA_MODE-0.022-0.019-0.014-0.039-0.0030.0000.012-0.0080.014-0.0090.4070.4120.4380.3860.3890.4200.0010.0100.0100.3040.3080.3380.007-0.012-0.008-0.002-0.0130.0080.0010.1990.2060.2230.0430.4030.4040.423-0.013-0.0200.0030.0000.0000.0370.0700.0130.0000.0210.0000.0280.0000.0000.0000.0350.0000.0000.0000.0000.0090.0000.0220.0000.0130.0080.0130.0000.0260.0220.2390.2430.2580.1380.1410.1530.037-0.0030.0250.9690.9721.0000.0420.0000.3680.3700.3980.4190.4240.4550.0000.0280.0110.0140.0100.0000.1020.1160.1430.0650.0830.1240.0200.0210.000-0.018-0.0780.0180.0160.0280.0480.0000.000-0.0030.0190.4230.0800.0000.1850.1860.2060.1720.1720.190
LIVE_CITY_NOT_WORK_CITY0.0200.0170.0130.0000.0070.0000.0130.0160.0080.0010.0830.0830.0780.0470.0470.0440.0590.0740.1300.0250.0250.0190.1860.2200.0660.0180.0790.0000.0000.0770.0750.0690.0090.0340.0350.0340.1140.0690.0500.0000.0000.0070.0000.0000.0000.0000.0030.0000.0060.0000.0000.0000.0000.0520.0000.0140.1310.0000.0430.0070.0030.2200.0830.0440.0210.1080.1160.1150.1130.0690.0700.0700.0210.0300.0080.0440.0420.0421.0000.2370.0600.0600.0550.0750.0740.0690.0000.0310.0680.0380.2230.0170.0000.0000.0060.0000.0000.0000.0000.0000.1260.0520.0910.0260.0170.0300.8280.0130.1970.0020.0290.0710.0440.0020.0220.0160.0110.0070.0060.015
LIVE_REGION_NOT_WORK_REGION0.0670.0490.0490.0000.0000.0000.0140.0140.0000.0020.0130.0060.0100.0080.0100.0110.0020.0140.1080.0410.0410.0360.0870.0960.0290.0210.0310.0200.0130.0280.0280.0250.0000.0000.0000.0030.0190.0560.0220.0000.0000.0060.0000.0240.0230.0000.0000.0000.0000.0000.0000.0030.0000.0130.0000.0150.0570.0110.0660.0170.0350.0960.0500.0160.0070.0410.0630.0640.0650.0780.0780.0780.0000.0590.0040.0120.0110.0000.2371.0000.0080.0000.0140.0180.0190.0150.0000.0330.0350.0160.1070.0000.0350.0350.0400.0250.0220.0290.0210.0210.0960.0470.2230.1850.1760.0220.1870.0920.8590.0130.0020.0220.0440.0100.0000.0040.0050.0460.0460.041
LIVINGAPARTMENTS_AVG0.0670.0510.0570.1100.0120.0000.028-0.0150.016-0.0300.9760.9710.9330.6890.6830.641-0.017-0.0090.0170.5790.5760.5530.008-0.017-0.0050.0070.018-0.017-0.0240.6860.6830.6690.0510.5380.5310.4820.0430.0770.0090.0000.0000.0290.0450.0480.0000.0000.0070.0000.0000.0000.0000.0000.0000.0440.0000.0290.0100.0000.0650.0230.0250.0270.0250.0000.0480.0310.7260.7240.7190.4950.4930.4820.0420.0670.0380.4030.3990.3680.0600.0081.0000.9970.9700.8960.8920.8550.0190.0320.0000.0000.0320.0000.2450.2450.2270.2110.2080.186-0.027-0.0260.023-0.0690.1360.1340.1390.0290.0690.0220.0000.0130.0210.8780.1250.0000.4210.4190.4200.4180.4170.418
LIVINGAPARTMENTS_MEDI0.0650.0500.0560.1080.0120.0000.028-0.0160.016-0.0290.9720.9730.9360.6880.6850.645-0.018-0.0090.0160.5760.5760.5550.008-0.018-0.0040.0070.019-0.018-0.0250.6800.6810.6670.0510.5380.5350.4870.0440.0750.0100.0000.0000.0320.0430.0500.0000.0000.0000.0000.0000.0000.0000.0000.0000.0450.0000.0240.0110.0000.0630.0240.0240.0260.0170.0000.0490.0300.7210.7220.7180.4920.4910.4800.0430.0660.0360.4030.4000.3700.0600.0000.9971.0000.9730.8930.8930.8580.0280.0320.0000.0000.0310.0000.2410.2450.2290.2070.2090.190-0.027-0.0260.024-0.0680.1310.1290.1340.0300.0680.0120.0000.0130.0200.8740.1290.0000.4210.4180.4200.4180.4160.418
LIVINGAPARTMENTS_MODE0.0570.0420.0480.0950.0120.0000.026-0.0130.014-0.0300.9470.9490.9570.6740.6730.670-0.014-0.0050.0270.5600.5620.5680.010-0.020-0.0050.0100.016-0.017-0.0250.6390.6450.6540.0500.5350.5330.5210.0360.0640.0080.0000.0000.0390.0410.0650.0000.0000.0000.0000.0000.0000.0000.0000.0000.0430.0000.0450.0190.0000.0660.0220.0190.0260.0290.0000.0330.0280.6910.6940.7030.4720.4720.4740.0400.0590.0420.4050.4040.3980.0550.0140.9700.9731.0000.8660.8690.8730.0230.0320.0000.0050.0260.0000.2210.2310.2420.1840.1940.207-0.020-0.0200.014-0.0550.1160.1110.1180.0340.0650.0110.0000.0140.0090.8540.1300.0000.4020.4000.4130.3990.3980.413
LIVINGAREA_AVG0.0810.0640.0710.136-0.0000.0300.026-0.0130.015-0.0200.9070.9030.8730.7170.7100.671-0.017-0.0030.0210.5780.5760.552-0.003-0.022-0.011-0.008-0.007-0.022-0.0290.7240.7210.7070.0810.6150.6080.5660.0710.1060.0090.0180.0000.0360.0770.0460.0220.0320.0180.0570.0000.0000.0000.0000.0000.0500.0000.0110.0000.0000.0600.0300.0350.0200.0310.0000.0700.0140.7830.7820.7770.5140.5120.4990.0470.0850.0440.4520.4480.4190.0750.0180.8960.8930.8661.0000.9960.9660.0210.0460.0110.0060.0250.0100.2520.2510.2320.2140.2090.185-0.022-0.0220.023-0.1010.1620.1380.1420.0510.0900.0200.0050.0080.0280.9400.1540.0000.4940.4920.4920.4750.4740.473
LIVINGAREA_MEDI0.0790.0620.0690.133-0.0000.0300.025-0.0130.016-0.0200.9030.9060.8780.7130.7110.676-0.017-0.0030.0200.5740.5740.554-0.003-0.022-0.011-0.007-0.006-0.023-0.0290.7150.7170.7050.0810.6140.6130.5730.0710.1040.0090.0140.0000.0330.0750.0440.0210.0300.0190.0530.0000.0000.0000.0000.0000.0470.0000.0080.0000.0000.0590.0280.0330.0150.0340.0080.0660.0100.7780.7810.7760.5100.5100.4970.0480.0840.0420.4520.4500.4240.0740.0190.8920.8930.8690.9961.0000.9710.0210.0450.0130.0070.0240.0100.2470.2500.2330.2080.2080.188-0.021-0.0210.023-0.1000.1590.1360.1390.0520.0890.0190.0080.0080.0290.9350.1520.0000.4930.4910.4910.4720.4710.471
LIVINGAREA_MODE0.0700.0540.0600.118-0.0020.0290.023-0.0110.014-0.0190.8770.8810.8950.6940.6950.700-0.016-0.0010.0210.5520.5550.563-0.003-0.021-0.012-0.005-0.008-0.021-0.0280.6660.6730.6870.0790.6080.6080.6040.0660.0930.0070.0130.0000.0350.0770.0400.0180.0290.0220.0510.0000.0000.0000.0000.0000.0440.0000.0160.0000.0000.0550.0260.0320.0150.0360.0140.0590.0130.7460.7490.7610.4810.4810.4810.0470.0770.0400.4510.4520.4550.0690.0150.8550.8580.8730.9660.9711.0000.0180.0440.0100.0030.0230.0120.2220.2350.2430.1820.1930.209-0.018-0.0180.025-0.0930.1450.1160.1220.0480.0830.0110.0000.0100.0260.9160.1480.0000.4740.4720.4900.4440.4430.458
NAME_CONTRACT_TYPE0.2400.2680.2480.0000.0000.0000.0000.0300.0200.0480.0230.0200.0150.0070.0090.0000.0140.0350.0150.0000.0000.0000.1250.0520.0630.0700.0240.0130.0070.0260.0270.0230.0040.0000.0000.0000.0140.0210.0080.0950.0190.0250.0000.0020.0020.0080.0220.0000.0080.0060.0000.0050.0550.4750.0040.0330.0960.0310.0820.0070.0000.0520.0000.0670.0150.0350.0430.0410.0400.0360.0340.0330.0180.0480.0000.0090.0000.0000.0000.0000.0190.0280.0230.0210.0210.0181.0000.0720.0550.0330.0610.0110.0000.0000.0000.0170.0160.0150.0230.0230.0560.0670.0270.0250.0250.0160.0090.0160.0110.0030.0270.0240.0240.0140.0000.0000.0000.0170.0220.015
NAME_EDUCATION_TYPE0.0680.0680.0720.0000.0000.0140.0090.0080.0000.0290.0390.0400.0370.0240.0240.0260.0050.0210.0190.0280.0290.0290.1190.1420.0440.0210.0510.0170.0170.0530.0530.0520.0300.0170.0180.0150.0730.0630.0300.0170.0000.0370.0000.0310.0460.0300.0290.0000.0360.0000.0070.0080.0040.0540.0160.0000.0950.0060.0790.0230.0900.1420.0950.0280.0260.0090.0720.0720.0720.0500.0500.0490.0170.0510.0190.0310.0280.0280.0310.0330.0320.0320.0320.0460.0450.0440.0721.0000.0550.0390.1020.0230.0000.0000.0000.0320.0310.0290.0190.0190.2190.0990.0500.0710.0700.0320.0300.0470.0480.0000.0590.0470.0320.0060.0000.0000.0000.0450.0440.045
NAME_FAMILY_STATUS0.0620.0680.0780.0000.0000.0000.0000.0110.0000.0150.0070.0030.0030.0100.0110.0080.0670.1620.1190.0000.0000.0000.1840.2650.0580.0320.0620.0000.0000.0110.0130.0130.0130.0000.0000.0000.1070.0200.0260.0050.0000.0340.0000.0100.0160.0060.0060.0010.0230.0000.0000.0090.0130.0590.0000.0110.1790.4080.0650.0170.0330.2650.1660.0500.0250.0780.0200.0200.0190.0160.0160.0160.0000.0230.0050.0130.0130.0110.0680.0350.0000.0000.0000.0110.0130.0100.0550.0551.0000.0660.1200.0680.0000.0000.0000.0000.0010.0030.0120.0120.0540.0530.0180.0190.0200.0770.0900.0400.0460.0000.0390.0100.0070.0020.0000.0000.0000.0250.0240.025
NAME_HOUSING_TYPE0.0140.0260.0260.0000.0000.0180.0080.0050.0000.0000.0080.0090.0080.0000.0000.0000.0090.0070.0510.0000.0000.0000.1240.1100.0450.0240.0460.0000.0000.0000.0000.0000.0310.0170.0170.0170.0800.0250.0320.0060.0000.0270.0000.0000.0120.0020.0280.0000.0300.0000.0000.0030.0150.0000.0000.0080.0720.0000.0300.0060.0210.1100.0440.2300.0310.0250.0230.0240.0250.0210.0210.0210.0300.0260.0160.0150.0130.0140.0380.0160.0000.0000.0050.0060.0070.0030.0330.0390.0661.0000.0550.0210.0000.0000.0000.0100.0070.0090.0000.0000.0300.0500.0590.0910.0900.1860.1280.0940.0570.0030.0430.0060.0310.0090.0000.0000.0000.0230.0230.024
NAME_INCOME_TYPE0.0580.0440.0420.0000.0000.0000.0190.0070.0000.0240.0220.0230.0190.0000.0000.0000.0550.0950.1190.0080.0060.0000.2851.0000.1180.0180.0980.0050.0060.0350.0350.0350.0240.0040.0040.0040.1460.0400.0580.0740.0000.0610.0110.0430.0700.0140.0450.0000.0500.0070.0000.0050.0000.2580.0000.0130.5920.2350.1360.0370.0841.0000.1540.0720.0180.2440.0480.0490.0490.0480.0480.0460.0200.0460.0130.0120.0110.0100.2230.1070.0320.0310.0260.0250.0240.0230.0610.1020.1200.0551.0000.0240.0000.0000.0000.0110.0070.0030.0000.0000.1580.0340.0880.1360.1290.0950.2580.0660.1250.0060.0660.0230.0240.0140.0000.0000.0000.0170.0180.021
NAME_TYPE_SUITE0.0120.0120.0100.0000.0000.0000.0250.0000.0000.0020.0190.0180.0170.0160.0120.0130.0130.0210.0440.0000.0000.0000.0280.0530.0120.0110.0170.0020.0000.0100.0090.0060.0000.0030.0040.0000.0140.0090.0190.0000.0000.0260.0000.0100.0060.0050.0020.0000.0090.0050.0000.0120.0000.0270.0340.0050.0390.0000.0190.0000.0090.0530.0420.0600.0160.0250.0140.0140.0120.0040.0050.0040.0000.0210.0120.0000.0000.0000.0170.0000.0000.0000.0000.0100.0100.0120.0110.0230.0680.0210.0241.0000.0370.0370.0000.0000.0000.0000.0180.0180.0250.0170.0210.0240.0230.0310.0250.0250.0150.0080.0160.0070.0000.0140.0000.0000.0000.0000.0050.011
NONLIVINGAPARTMENTS_AVG0.0260.0150.0180.0420.0140.0000.004-0.0170.016-0.0170.2690.2650.2400.1840.1790.1510.001-0.0030.0170.2470.2430.2220.018-0.0120.006-0.0060.0410.002-0.0010.2160.2090.1940.0000.1300.1250.0980.0340.030-0.0140.0000.0000.0550.0000.0120.0000.0000.0220.0000.0540.0000.0000.0000.0000.0000.0000.0290.0000.0000.0170.0000.0000.0060.0000.0220.0160.0200.2490.2460.2340.1670.1640.1510.0170.0290.0000.1260.1230.1020.0000.0350.2450.2410.2210.2520.2470.2220.0000.0000.0000.0000.0000.0371.0000.9830.9350.6920.6850.650-0.012-0.0120.000-0.0260.0690.0310.0340.0460.0000.0330.0180.0110.0000.2810.0600.0080.0800.0790.0670.0820.0810.072
NONLIVINGAPARTMENTS_MEDI0.0240.0130.0150.0400.0120.0000.002-0.0150.015-0.0140.2690.2690.2500.1850.1840.1650.003-0.0020.0170.2460.2470.2350.020-0.0130.007-0.0080.043-0.001-0.0040.2090.2100.1970.0000.1330.1320.1080.0320.028-0.0170.0000.0000.0550.0000.0130.0000.0000.0220.0000.0540.0000.0000.0000.0000.0000.0000.0280.0000.0000.0170.0000.0000.0030.0000.0220.0160.0190.2420.2420.2320.1620.1620.1490.0170.0290.0000.1300.1290.1160.0000.0350.2450.2450.2310.2510.2500.2350.0000.0000.0000.0000.0000.0370.9831.0000.9530.6800.6960.667-0.012-0.0120.000-0.0280.0660.0280.0310.0460.0000.0340.0190.0110.0000.2850.0560.0070.0800.0780.0710.0810.0800.076
NONLIVINGAPARTMENTS_MODE0.0170.0080.0090.0280.0100.0130.001-0.0150.017-0.0140.2520.2540.2610.1760.1770.1870.005-0.0000.0180.2310.2340.2480.019-0.0160.002-0.0100.0410.000-0.0030.1830.1880.1910.0000.1330.1320.1370.0290.024-0.0210.0000.0000.0550.0000.0140.0000.0000.0220.0000.0540.0000.0000.0000.0000.0070.0000.0240.0000.0000.0200.0000.0000.0000.0000.0210.0200.0190.2160.2180.2200.1440.1450.1470.0190.0230.0000.1340.1350.1430.0060.0400.2270.2290.2420.2320.2330.2430.0000.0000.0000.0000.0000.0000.9350.9531.0000.6430.6640.704-0.008-0.0090.000-0.0160.0470.0270.0300.0590.0000.0440.0190.0140.0080.2710.0540.0000.0650.0650.0690.0670.0670.075
NONLIVINGAREA_AVG0.0440.0290.0320.0710.0030.0080.017-0.0110.006-0.0090.2340.2280.2030.1740.1680.1380.001-0.0050.0150.1760.1720.1460.016-0.0080.010-0.0070.038-0.012-0.0130.2220.2150.1980.0140.1190.1150.0870.0390.057-0.0030.0160.0000.0290.1380.0100.0090.0000.0000.0000.0120.0000.0000.0000.0020.0100.0000.0140.0120.0000.0200.0220.0290.0340.0190.0110.0010.0000.2470.2440.2320.1380.1340.1200.0480.0390.0180.0940.0900.0650.0000.0250.2110.2070.1840.2140.2080.1820.0170.0320.0000.0100.0110.0000.6920.6800.6431.0000.9820.921-0.022-0.0220.018-0.0390.0640.0480.0490.0190.0050.0210.0220.0080.0170.2730.0680.0000.1030.1010.0880.0980.0970.087
NONLIVINGAREA_MEDI0.0400.0260.0290.0660.0030.0040.014-0.0090.007-0.0070.2290.2300.2110.1720.1710.1520.002-0.0040.0140.1750.1760.1620.016-0.0100.010-0.0060.040-0.011-0.0130.2110.2130.2000.0140.1210.1210.0970.0400.053-0.0040.0150.0000.0260.1330.0000.0060.0000.0110.0000.0210.0000.0270.0000.0000.0140.0000.0230.0110.0000.0210.0300.0330.0280.0170.0120.0000.0000.2350.2360.2260.1290.1280.1170.0460.0380.0210.0990.0980.0830.0000.0220.2080.2090.1940.2090.2080.1930.0160.0310.0010.0070.0070.0000.6850.6960.6640.9821.0000.942-0.018-0.0180.014-0.0430.0570.0450.0480.0210.0060.0230.0200.0090.0210.2700.0660.0070.1000.0990.0910.0940.0940.090
NONLIVINGAREA_MODE0.0310.0190.0210.0490.0000.0000.008-0.0080.004-0.0070.2080.2130.2260.1610.1640.1820.004-0.0030.0020.1600.1640.1810.015-0.0100.007-0.0060.040-0.007-0.0110.1750.1830.1930.0140.1210.1230.1340.0360.041-0.0110.0170.0000.0280.1360.0040.0090.0000.0000.0000.0140.0000.0270.0000.0000.0140.0000.0100.0000.0000.0240.0240.0280.0210.0230.0070.0000.0000.1980.2010.2090.0980.1000.1050.0470.0330.0220.1050.1070.1240.0000.0290.1860.1900.2070.1850.1880.2090.0150.0290.0030.0090.0030.0000.6500.6670.7040.9210.9421.000-0.011-0.0120.013-0.0300.0330.0410.0430.0160.0000.0200.0270.0110.0140.2530.0680.0050.0830.0830.0920.0760.0760.087
OBS_30_CNT_SOCIAL_CIRCLE-0.013-0.001-0.001-0.028-0.0010.000-0.0040.001-0.0040.019-0.020-0.019-0.016-0.012-0.011-0.0060.0200.0250.006-0.002-0.0010.0050.024-0.0030.003-0.0090.0190.3870.311-0.046-0.044-0.0430.010-0.001-0.0010.003-0.043-0.021-0.0110.0000.0000.0000.0000.0000.0000.0230.0000.0000.0000.0000.0000.0000.0000.0290.0000.0140.0000.0000.0230.0050.0000.0070.0080.0090.0310.014-0.037-0.036-0.035-0.033-0.031-0.0290.013-0.0180.0000.0200.0200.0200.0000.021-0.027-0.027-0.020-0.022-0.021-0.0180.0230.0190.0120.0000.0000.018-0.012-0.012-0.008-0.022-0.018-0.0111.0000.9970.0150.0130.0110.0360.0320.0080.0000.0190.027-0.0030.001-0.0230.0100.006-0.003-0.003-0.0020.0010.0020.003
OBS_60_CNT_SOCIAL_CIRCLE-0.013-0.001-0.001-0.027-0.0010.000-0.0040.000-0.0040.020-0.019-0.019-0.015-0.011-0.011-0.0050.0190.0250.005-0.002-0.0010.0050.023-0.0030.002-0.0100.0190.3890.313-0.045-0.043-0.0430.000-0.001-0.0010.003-0.043-0.021-0.0110.0000.0000.0000.0000.0000.0000.0220.0000.0000.0020.0000.0000.0000.0000.0300.0000.0130.0000.0000.0230.0040.0000.0120.0070.0080.0310.014-0.036-0.035-0.034-0.033-0.031-0.0290.010-0.0180.0000.0200.0210.0210.0000.021-0.026-0.026-0.020-0.022-0.021-0.0180.0230.0190.0120.0000.0000.018-0.012-0.012-0.009-0.022-0.018-0.0120.9971.0000.0140.0130.0110.0360.0330.0070.0000.0190.027-0.0040.004-0.0220.0110.006-0.003-0.003-0.0020.0020.0020.004
OCCUPATION_TYPE0.0660.0570.0600.0000.0000.0000.0000.0000.0090.0180.0190.0220.0210.0210.0220.0220.0170.0270.5720.0300.0280.0250.0731.0000.0280.0240.0280.0060.0100.0270.0260.0270.0100.0130.0140.0110.1000.0490.0090.0060.0000.0420.0060.0310.0390.0420.0190.0000.0340.0000.0000.0000.0000.1380.0000.0130.0470.0020.2110.0410.0740.0100.2590.0240.0510.0220.0400.0410.0410.0320.0330.0330.0280.0270.0230.0000.0000.0000.1260.0960.0230.0240.0140.0230.0230.0250.0560.2190.0540.0300.1580.0250.0000.0000.0000.0180.0140.0130.0150.0141.0000.0660.0390.0570.0550.0400.1140.0260.0810.0000.0890.0310.0250.0120.0000.0000.0000.0360.0380.035
OWN_CAR_AGE-0.092-0.086-0.098-0.2000.0020.002-0.018-0.0250.0040.013-0.070-0.069-0.061-0.031-0.030-0.0220.0090.0030.082-0.035-0.035-0.025-0.0240.041-0.017-0.000-0.0230.0230.023-0.110-0.109-0.1080.025-0.016-0.016-0.010-0.119-0.1310.0340.0110.0000.0200.0000.1170.0000.0720.0180.0000.0000.0000.0130.0000.0000.0430.0000.0000.0540.0000.0620.0000.0310.0601.0000.0090.0610.075-0.112-0.112-0.112-0.124-0.124-0.1210.030-0.1360.000-0.027-0.026-0.0180.0520.047-0.069-0.068-0.055-0.101-0.100-0.0930.0670.0990.0530.0500.0340.017-0.026-0.028-0.016-0.039-0.043-0.0300.0130.0130.0661.000-0.1350.1180.1180.0130.0550.0300.0510.0050.057-0.0840.0220.014-0.071-0.070-0.069-0.075-0.075-0.074
REGION_POPULATION_RELATIVE0.0560.0550.0650.0920.0050.0080.047-0.003-0.0070.0090.1430.1400.1290.0680.0650.042-0.023-0.0150.0100.0430.0390.024-0.030-0.007-0.015-0.042-0.0430.0210.0210.1860.1810.1710.0500.0360.0360.0210.0670.182-0.0050.0200.0110.0240.0000.0480.0410.0210.0090.0130.0120.0000.0000.0060.0080.1020.0180.0220.0310.0070.1190.0560.0680.0550.0420.0460.1240.0340.1860.1810.1750.1950.1910.1820.0730.1260.037-0.069-0.072-0.0780.0910.2230.1360.1310.1160.1620.1590.1450.0270.0500.0180.0590.0880.0210.0690.0660.0470.0640.0570.0330.0110.0110.039-0.1351.0000.6460.6170.0500.0920.0730.2120.0070.0470.1490.0880.012-0.061-0.063-0.065-0.086-0.087-0.091
REGION_RATING_CLIENT0.1150.0990.0940.0000.0080.0090.0610.0040.0120.0080.1310.1290.1110.0700.0660.0510.0250.0270.0120.1120.1120.0950.0200.0390.0240.0530.0650.0220.0210.1920.1890.1670.0350.0430.0430.0310.0880.2590.0220.0230.0000.0120.0000.0440.0510.0130.0120.0090.0110.0000.0000.0070.0080.0900.0060.0130.0190.0080.1200.0560.0690.0390.0190.0100.0970.0100.2510.2480.2400.2150.2120.2030.0410.2260.0320.0120.0070.0180.0260.1850.1340.1290.1110.1380.1360.1160.0250.0710.0190.0910.1360.0240.0310.0280.0270.0480.0450.0410.0360.0360.0570.1180.6461.0000.9560.0440.0370.0610.1790.0000.0610.1340.1010.0180.0280.0300.0310.0930.0930.094
REGION_RATING_CLIENT_W_CITY0.1180.1020.0970.0000.0070.0080.0580.0080.0120.0090.1330.1300.1140.0710.0670.0520.0250.0280.0110.1110.1110.0960.0230.0420.0230.0490.0620.0190.0200.1880.1860.1650.0340.0440.0440.0300.0840.2540.0230.0210.0000.0070.0000.0440.0490.0120.0130.0080.0120.0000.0000.0060.0070.0870.0060.0160.0200.0080.1190.0540.0640.0420.0200.0120.0910.0130.2450.2420.2350.2090.2060.1980.0420.2070.0210.0160.0080.0160.0170.1760.1390.1340.1180.1420.1390.1220.0250.0700.0200.0900.1290.0230.0340.0310.0300.0490.0480.0430.0320.0330.0550.1180.6170.9561.0000.0510.0430.0570.1700.0000.0600.1390.0940.0160.0270.0300.0300.0870.0870.088
REG_CITY_NOT_LIVE_CITY0.0060.0250.0240.0000.0000.0150.0000.0100.0040.0000.0550.0550.0500.0310.0290.0260.0140.0280.0510.0000.0000.0000.1820.0920.0830.0570.0800.0000.0000.0480.0480.0470.0300.0280.0280.0250.1270.0410.0780.0000.0000.0540.0000.0030.0050.0000.0120.0000.0140.0040.0000.0000.0000.0000.0000.0000.0570.0000.0220.0000.0140.0920.0070.0640.0530.0410.0910.0910.0890.0440.0440.0440.0200.0190.0230.0280.0300.0280.0300.0220.0290.0300.0340.0510.0520.0480.0160.0320.0770.1860.0950.0310.0460.0460.0590.0190.0210.0160.0080.0070.0400.0130.0500.0440.0511.0000.4390.3410.1500.0180.0440.0500.0490.0000.0190.0210.0150.0050.0100.012
REG_CITY_NOT_WORK_CITY0.0180.0230.0170.0000.0000.0080.0200.0100.0000.0000.0980.0980.0910.0530.0520.0480.0480.0700.1350.0260.0260.0220.2500.2560.1080.0460.1130.0000.0000.0880.0860.0800.0140.0420.0430.0390.1760.0840.0850.0000.0000.0340.0000.0050.0050.0000.0000.0000.0150.0000.0000.0000.0000.0510.0000.0120.1560.0000.0440.0030.0000.2560.0720.0680.0440.1170.1450.1440.1420.0830.0840.0840.0260.0240.0240.0500.0490.0480.8280.1870.0690.0680.0650.0900.0890.0830.0090.0300.0900.1280.2580.0250.0000.0000.0000.0050.0060.0000.0000.0000.1140.0550.0920.0370.0430.4391.0000.1430.2390.0100.0520.0850.0600.0000.0320.0290.0230.0150.0150.018
REG_REGION_NOT_LIVE_REGION0.0450.0270.0250.0000.0090.0000.0000.0130.0040.0000.0240.0150.0150.0000.0000.0000.0000.0030.0250.0390.0390.0300.0620.0360.0370.0390.0290.0050.0050.0330.0330.0330.0060.0130.0120.0100.0190.0390.0530.0000.0080.0890.0000.0020.0000.0000.0070.0000.0000.0000.0000.0000.0000.0270.0000.0110.0230.0000.0210.0110.0180.0360.0000.0450.0000.0650.0410.0400.0390.0360.0450.0420.0000.0530.0000.0000.0000.0000.0130.0920.0220.0120.0110.0200.0190.0110.0160.0470.0400.0940.0660.0250.0330.0340.0440.0210.0230.0200.0190.0190.0260.0300.0730.0610.0570.3410.1431.0000.4490.0060.0040.0160.0000.0020.0000.0000.0000.0190.0220.020
REG_REGION_NOT_WORK_REGION0.0730.0520.0510.0000.0000.0000.0080.0100.0060.0010.0000.0000.0000.0000.0050.0100.0000.0060.1060.0330.0310.0220.1010.1080.0460.0360.0400.0200.0150.0230.0240.0200.0000.0000.0010.0080.0410.0620.0470.0000.0000.0470.0000.0190.0180.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.0200.0650.0090.0620.0210.0360.1080.0430.0390.0040.0700.0570.0580.0580.0760.0780.0780.0000.0710.0000.0000.0000.0000.1970.8590.0000.0000.0000.0050.0080.0000.0110.0480.0460.0570.1250.0150.0180.0190.0190.0220.0200.0270.0270.0270.0810.0510.2120.1790.1700.1500.2390.4491.0000.0050.0100.0150.0390.0070.0000.0070.0080.0400.0410.038
SK_ID_CURR0.0050.0040.0050.003-0.0030.004-0.001-0.0050.0130.0040.0070.0090.0090.0090.0090.0100.000-0.0020.0000.0050.0040.0030.0010.002-0.002-0.0020.000-0.0030.0010.0070.0080.0060.0010.0010.0010.003-0.002-0.002-0.0000.0000.0000.0040.0010.0070.0000.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0010.0120.0170.0160.0000.0000.0000.0040.0050.003-0.013-0.012-0.0140.0170.0000.015-0.003-0.004-0.0030.0020.0130.0130.0130.0140.0080.0080.0100.0030.0000.0000.0030.0060.0080.0110.0110.0140.0080.0090.011-0.003-0.0040.0000.0050.0070.0000.0000.0180.0100.0060.0051.0000.0000.0120.0070.008-0.003-0.004-0.003-0.004-0.004-0.004
TARGET0.0290.0390.0400.0140.0000.0000.0110.0200.0000.0150.0230.0230.0220.0190.0200.0140.0140.0150.0550.0090.0110.0130.0790.0450.0490.0660.0420.0290.0260.0390.0380.0370.0000.0180.0180.0170.1790.1740.1820.0000.0000.0000.0000.0110.0070.0090.0070.0000.0040.0000.0000.0040.0100.0430.0000.0000.0260.0000.0100.0020.0100.0450.0170.0000.0270.0250.0420.0430.0440.0290.0300.0290.0150.0320.0060.0150.0160.0190.0290.0020.0210.0200.0090.0280.0290.0260.0270.0590.0390.0430.0660.0160.0000.0000.0080.0170.0210.0140.0010.0040.0890.0570.0470.0610.0600.0440.0520.0040.0100.0001.0000.0280.0300.0040.0000.0000.0000.0170.0190.018
TOTALAREA_MODE0.0750.0600.0670.1340.0010.0300.024-0.0130.014-0.0180.9020.8960.8770.7100.7030.672-0.012-0.0020.0270.6200.6170.600-0.003-0.019-0.011-0.008-0.003-0.024-0.0290.7160.7150.7050.0760.5940.5870.5520.0710.1000.0050.0140.0000.0340.0790.0290.0230.0220.0160.0270.0000.0000.0000.0000.0000.0510.0000.0000.0170.0000.0600.0170.0340.0190.0370.0000.0570.0120.7780.7780.7760.4970.4950.4840.0520.0760.0370.4490.4460.4230.0710.0220.8780.8740.8540.9400.9350.9160.0240.0470.0100.0060.0230.0070.2810.2850.2710.2730.2700.253-0.023-0.0220.031-0.0840.1490.1340.1390.0500.0850.0160.0150.0120.0281.0000.1460.0000.4950.4920.4950.4630.4610.464
WALLSMATERIAL_MODE0.0210.0100.0090.0000.0110.0210.0100.0000.0140.0070.1430.1420.1400.1120.1100.1090.0060.0070.0070.0710.0710.0690.0170.0250.0140.0060.0440.0130.0150.1450.1440.1430.3270.1400.1400.1380.0220.0240.0060.0000.0000.0000.0000.0000.0140.0120.0040.0000.0000.0000.0000.0000.0000.0510.0000.0000.0200.0000.0440.0180.0200.0250.0300.0320.0440.0410.2720.2770.2790.1930.1950.1980.1080.0440.1130.0790.0800.0800.0440.0440.1250.1290.1300.1540.1520.1480.0240.0320.0070.0310.0240.0000.0600.0560.0540.0680.0660.0680.0100.0110.0250.0220.0880.1010.0940.0490.0600.0000.0390.0070.0300.1461.0000.0000.0200.0200.0150.2000.1980.199
WEEKDAY_APPR_PROCESS_START0.0000.0000.0040.0000.0120.0210.0000.0000.0080.0050.0000.0000.0000.0090.0070.0000.0050.0050.0000.0000.0040.0000.0160.0300.0080.0000.0100.0000.0050.0110.0110.0100.0000.0080.0080.0060.0030.0030.0050.0230.0040.0290.0000.0000.0000.0000.0000.0000.0110.0030.0000.0000.0060.0190.0000.0110.0260.0000.0000.0000.0000.0300.0000.0200.0070.0270.0090.0060.0030.0000.0000.0080.0000.0340.0080.0000.0000.0000.0020.0100.0000.0000.0000.0000.0000.0000.0140.0060.0020.0090.0140.0140.0080.0070.0000.0000.0070.0050.0060.0060.0120.0140.0120.0180.0160.0000.0000.0020.0070.0080.0040.0000.0001.0000.0080.0070.0000.0070.0050.007
YEARS_BEGINEXPLUATATION_AVG0.0370.0380.0430.057-0.0010.0230.004-0.0030.006-0.0160.4430.4410.4230.3130.3090.2920.0120.0250.0000.3480.3480.3310.014-0.006-0.0150.0030.121-0.023-0.0250.4820.4850.4800.0220.1330.1280.1080.0200.0280.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0100.5780.5800.5750.3480.3490.3370.038-0.0070.0000.2070.2050.1850.0220.0000.4210.4210.4020.4940.4930.4740.0000.0000.0000.0000.0000.0000.0800.0800.0650.1030.1000.083-0.003-0.0030.000-0.071-0.0610.0280.0270.0190.0320.0000.000-0.0030.0000.4950.0200.0081.0000.9970.9850.9880.9870.976
YEARS_BEGINEXPLUATATION_MEDI0.0360.0380.0430.056-0.0010.0250.004-0.0040.006-0.0170.4410.4390.4220.3120.3080.2920.0130.0260.0000.3470.3470.3300.014-0.006-0.0150.0030.120-0.024-0.0260.4790.4840.4790.0250.1330.1270.1080.0200.0270.0110.0000.0000.0000.0000.0000.0000.0050.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0050.0000.0000.0010.0000.0000.0000.0050.5750.5790.5740.3440.3460.3350.029-0.0070.0000.2070.2050.1860.0160.0040.4190.4180.4000.4920.4910.4720.0000.0000.0000.0000.0000.0000.0790.0780.0650.1010.0990.083-0.003-0.0030.000-0.070-0.0630.0300.0300.0210.0290.0000.007-0.0040.0000.4920.0200.0070.9971.0000.9840.9860.9870.975
YEARS_BEGINEXPLUATATION_MODE0.0340.0370.0420.052-0.0030.0220.004-0.0030.005-0.0170.4420.4410.4380.3150.3120.3120.0110.0240.0130.3450.3460.3410.013-0.006-0.0170.0030.117-0.023-0.0260.4680.4750.4820.0000.1410.1370.1330.0200.0250.0100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0220.0000.0020.0000.0000.0110.0050.0000.0030.0000.5670.5710.5780.3400.3410.3380.021-0.0070.0000.2130.2120.2060.0110.0050.4200.4200.4130.4920.4910.4900.0000.0000.0000.0000.0000.0000.0670.0710.0690.0880.0910.092-0.002-0.0020.000-0.069-0.0650.0310.0300.0150.0230.0000.008-0.0030.0000.4950.0150.0000.9850.9841.0000.9690.9680.980
YEARS_BUILD_AVG0.0340.0340.0370.050-0.0030.0210.009-0.0050.008-0.0160.4190.4160.3880.3050.2990.2800.0170.0310.0250.3450.3460.3290.018-0.002-0.0100.0130.136-0.017-0.0230.4730.4760.4690.1290.1020.0960.0720.0040.0140.0200.0290.0000.0000.0000.0330.0150.0220.0190.0000.0330.0000.0000.0000.0110.0280.0000.0180.0160.0180.0430.0000.0240.0210.0510.0000.0260.0100.5660.5680.5590.3520.3540.3420.083-0.0160.1200.1960.1940.1720.0070.0460.4180.4180.3990.4750.4720.4440.0170.0450.0250.0230.0170.0000.0820.0810.0670.0980.0940.0760.0010.0020.036-0.075-0.0860.0930.0870.0050.0150.0190.040-0.0040.0170.4630.2000.0070.9880.9860.9691.0000.9980.987
YEARS_BUILD_MEDI0.0320.0330.0360.049-0.0030.0120.008-0.0050.007-0.0160.4170.4140.3870.3030.2980.2800.0170.0300.0190.3440.3450.3280.019-0.002-0.0100.0130.135-0.018-0.0230.4710.4760.4680.1300.1010.0950.0720.0030.0130.0190.0320.0000.0000.0000.0340.0200.0210.0200.0000.0340.0000.0000.0000.0120.0310.0000.0120.0140.0190.0440.0000.0240.0220.0500.0020.0250.0000.5640.5680.5590.3500.3520.3410.083-0.0160.1210.1960.1940.1720.0060.0460.4170.4160.3980.4740.4710.4430.0220.0440.0240.0230.0180.0050.0810.0800.0670.0970.0940.0760.0020.0020.038-0.075-0.0870.0930.0870.0100.0150.0220.041-0.0040.0190.4610.1980.0050.9870.9870.9680.9981.0000.987
YEARS_BUILD_MODE0.0290.0310.0340.045-0.0050.0110.009-0.0030.007-0.0170.4190.4160.4020.3080.3030.2990.0160.0290.0180.3440.3450.3410.018-0.002-0.0110.0140.132-0.017-0.0230.4630.4690.4720.1290.1090.1040.0940.0020.0120.0160.0300.0000.0000.0000.0350.0150.0240.0320.0000.0280.0000.0000.0000.0160.0290.0000.0000.0060.0220.0410.0080.0250.0260.0490.0110.0130.0150.5560.5600.5610.3450.3470.3450.078-0.0180.1160.2030.2010.1900.0150.0410.4180.4180.4130.4730.4710.4580.0150.0450.0250.0240.0210.0110.0720.0760.0750.0870.0900.0870.0030.0040.035-0.074-0.0910.0940.0880.0120.0180.0200.038-0.0040.0180.4640.1990.0070.9760.9750.9800.9870.9871.000

Missing values

2024-09-01T13:14:16.382644image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-09-01T13:14:17.094649image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

SK_ID_CURRTARGETNAME_CONTRACT_TYPECODE_GENDERFLAG_OWN_CARFLAG_OWN_REALTYCNT_CHILDRENAMT_INCOME_TOTALAMT_CREDITAMT_ANNUITYAMT_GOODS_PRICENAME_TYPE_SUITENAME_INCOME_TYPENAME_EDUCATION_TYPENAME_FAMILY_STATUSNAME_HOUSING_TYPEREGION_POPULATION_RELATIVEDAYS_BIRTHDAYS_EMPLOYEDDAYS_REGISTRATIONDAYS_ID_PUBLISHOWN_CAR_AGEFLAG_MOBILFLAG_EMP_PHONEFLAG_WORK_PHONEFLAG_CONT_MOBILEFLAG_PHONEFLAG_EMAILOCCUPATION_TYPECNT_FAM_MEMBERSREGION_RATING_CLIENTREGION_RATING_CLIENT_W_CITYWEEKDAY_APPR_PROCESS_STARTHOUR_APPR_PROCESS_STARTREG_REGION_NOT_LIVE_REGIONREG_REGION_NOT_WORK_REGIONLIVE_REGION_NOT_WORK_REGIONREG_CITY_NOT_LIVE_CITYREG_CITY_NOT_WORK_CITYLIVE_CITY_NOT_WORK_CITYORGANIZATION_TYPEEXT_SOURCE_1EXT_SOURCE_2EXT_SOURCE_3APARTMENTS_AVGBASEMENTAREA_AVGYEARS_BEGINEXPLUATATION_AVGYEARS_BUILD_AVGCOMMONAREA_AVGELEVATORS_AVGENTRANCES_AVGFLOORSMAX_AVGFLOORSMIN_AVGLANDAREA_AVGLIVINGAPARTMENTS_AVGLIVINGAREA_AVGNONLIVINGAPARTMENTS_AVGNONLIVINGAREA_AVGAPARTMENTS_MODEBASEMENTAREA_MODEYEARS_BEGINEXPLUATATION_MODEYEARS_BUILD_MODECOMMONAREA_MODEELEVATORS_MODEENTRANCES_MODEFLOORSMAX_MODEFLOORSMIN_MODELANDAREA_MODELIVINGAPARTMENTS_MODELIVINGAREA_MODENONLIVINGAPARTMENTS_MODENONLIVINGAREA_MODEAPARTMENTS_MEDIBASEMENTAREA_MEDIYEARS_BEGINEXPLUATATION_MEDIYEARS_BUILD_MEDICOMMONAREA_MEDIELEVATORS_MEDIENTRANCES_MEDIFLOORSMAX_MEDIFLOORSMIN_MEDILANDAREA_MEDILIVINGAPARTMENTS_MEDILIVINGAREA_MEDINONLIVINGAPARTMENTS_MEDINONLIVINGAREA_MEDIFONDKAPREMONT_MODEHOUSETYPE_MODETOTALAREA_MODEWALLSMATERIAL_MODEEMERGENCYSTATE_MODEOBS_30_CNT_SOCIAL_CIRCLEDEF_30_CNT_SOCIAL_CIRCLEOBS_60_CNT_SOCIAL_CIRCLEDEF_60_CNT_SOCIAL_CIRCLEDAYS_LAST_PHONE_CHANGEFLAG_DOCUMENT_2FLAG_DOCUMENT_3FLAG_DOCUMENT_4FLAG_DOCUMENT_5FLAG_DOCUMENT_6FLAG_DOCUMENT_7FLAG_DOCUMENT_8FLAG_DOCUMENT_9FLAG_DOCUMENT_10FLAG_DOCUMENT_11FLAG_DOCUMENT_12FLAG_DOCUMENT_13FLAG_DOCUMENT_14FLAG_DOCUMENT_15FLAG_DOCUMENT_16FLAG_DOCUMENT_17FLAG_DOCUMENT_18FLAG_DOCUMENT_19FLAG_DOCUMENT_20FLAG_DOCUMENT_21AMT_REQ_CREDIT_BUREAU_HOURAMT_REQ_CREDIT_BUREAU_DAYAMT_REQ_CREDIT_BUREAU_WEEKAMT_REQ_CREDIT_BUREAU_MONAMT_REQ_CREDIT_BUREAU_QRTAMT_REQ_CREDIT_BUREAU_YEAR
2458953845750Cash loansMYN2207000.0465457.552641.0418500.0UnaccompaniedCommercial associateSecondary / secondary specialMarriedHouse / apartment0.009630-13297-762-637.0-430719.0110100Sales staff4.022THURSDAY11000011Business Entity Type 30.6758780.6048940.000527NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNoneNoneNaNNoneNone0.00.00.00.0-2.0010000000000000000000.00.00.01.00.01.0
981942140100Cash loansFYY0247500.01281712.548946.51179000.0UnaccompaniedCommercial associateHigher educationSingle / not marriedHouse / apartment0.006852-14778-1141-1610.0-454611.0110101Managers1.033THURSDAY10000000Business Entity Type 30.4308270.4253510.7121550.07530.05680.99700.95920.13260.080.05170.41670.29170.07350.06010.08440.00580.11180.07560.05660.99400.92160.05230.08060.03450.33330.04170.04450.06520.08570.00.00000.07600.05680.99700.95970.13350.080.05170.41670.29170.07480.06110.08590.00580.1142reg oper accountblock of flats0.0754MonolithicNo2.00.02.00.0-1071.0010000000000000000000.00.00.01.00.03.0
364631422320Cash loansFYN0202500.0495000.039109.5495000.0UnaccompaniedWorkingSecondary / secondary specialMarriedHouse / apartment0.035792-17907-639-2507.0-14614.0111100Sales staff2.022TUESDAY16000000Self-employed0.5272390.5317600.207964NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNoneNoneNaNNoneNone5.00.05.00.0-1435.0010000000000000000000.00.00.01.00.03.0
2499233891710Cash loansFNY0247500.0254700.024939.0225000.0UnaccompaniedState servantSecondary / secondary specialWidowHouse / apartment0.046220-19626-6982-11167.0-3158NaN110100High skill tech staff1.011FRIDAY14000000Business Entity Type 3NaN0.6935210.6144140.13200.06450.9846NaNNaN0.160.06900.6250NaNNaNNaN0.1628NaN0.00220.13450.06700.9846NaNNaN0.16110.06900.6250NaNNaNNaN0.1696NaN0.00230.13320.06450.9846NaNNaN0.160.06900.6250NaNNaNNaN0.1657NaN0.0022NoneNone0.1285PanelNo0.00.00.00.0-2000.0010000000000000000000.00.00.00.00.00.0
1583892836170Cash loansMNY0112500.0308133.015862.5234000.0UnaccompaniedWorkingSecondary / secondary specialSingle / not marriedHouse / apartment0.018850-20327-1105-7299.0-494NaN110100Laborers1.022WEDNESDAY11000000Business Entity Type 30.6548820.5606900.6363760.06190.05530.9717NaNNaN0.000.17240.1667NaN0.0866NaN0.0749NaN0.01490.06300.05740.9717NaNNaN0.00000.17240.1667NaN0.0885NaN0.0780NaN0.01580.06250.05530.9717NaNNaN0.000.17240.1667NaN0.0881NaN0.0762NaN0.0152Noneblock of flats0.0765Stone, brickNo0.00.00.00.0-173.0010000000000000000000.00.00.00.00.04.0
SK_ID_CURRTARGETNAME_CONTRACT_TYPECODE_GENDERFLAG_OWN_CARFLAG_OWN_REALTYCNT_CHILDRENAMT_INCOME_TOTALAMT_CREDITAMT_ANNUITYAMT_GOODS_PRICENAME_TYPE_SUITENAME_INCOME_TYPENAME_EDUCATION_TYPENAME_FAMILY_STATUSNAME_HOUSING_TYPEREGION_POPULATION_RELATIVEDAYS_BIRTHDAYS_EMPLOYEDDAYS_REGISTRATIONDAYS_ID_PUBLISHOWN_CAR_AGEFLAG_MOBILFLAG_EMP_PHONEFLAG_WORK_PHONEFLAG_CONT_MOBILEFLAG_PHONEFLAG_EMAILOCCUPATION_TYPECNT_FAM_MEMBERSREGION_RATING_CLIENTREGION_RATING_CLIENT_W_CITYWEEKDAY_APPR_PROCESS_STARTHOUR_APPR_PROCESS_STARTREG_REGION_NOT_LIVE_REGIONREG_REGION_NOT_WORK_REGIONLIVE_REGION_NOT_WORK_REGIONREG_CITY_NOT_LIVE_CITYREG_CITY_NOT_WORK_CITYLIVE_CITY_NOT_WORK_CITYORGANIZATION_TYPEEXT_SOURCE_1EXT_SOURCE_2EXT_SOURCE_3APARTMENTS_AVGBASEMENTAREA_AVGYEARS_BEGINEXPLUATATION_AVGYEARS_BUILD_AVGCOMMONAREA_AVGELEVATORS_AVGENTRANCES_AVGFLOORSMAX_AVGFLOORSMIN_AVGLANDAREA_AVGLIVINGAPARTMENTS_AVGLIVINGAREA_AVGNONLIVINGAPARTMENTS_AVGNONLIVINGAREA_AVGAPARTMENTS_MODEBASEMENTAREA_MODEYEARS_BEGINEXPLUATATION_MODEYEARS_BUILD_MODECOMMONAREA_MODEELEVATORS_MODEENTRANCES_MODEFLOORSMAX_MODEFLOORSMIN_MODELANDAREA_MODELIVINGAPARTMENTS_MODELIVINGAREA_MODENONLIVINGAPARTMENTS_MODENONLIVINGAREA_MODEAPARTMENTS_MEDIBASEMENTAREA_MEDIYEARS_BEGINEXPLUATATION_MEDIYEARS_BUILD_MEDICOMMONAREA_MEDIELEVATORS_MEDIENTRANCES_MEDIFLOORSMAX_MEDIFLOORSMIN_MEDILANDAREA_MEDILIVINGAPARTMENTS_MEDILIVINGAREA_MEDINONLIVINGAPARTMENTS_MEDINONLIVINGAREA_MEDIFONDKAPREMONT_MODEHOUSETYPE_MODETOTALAREA_MODEWALLSMATERIAL_MODEEMERGENCYSTATE_MODEOBS_30_CNT_SOCIAL_CIRCLEDEF_30_CNT_SOCIAL_CIRCLEOBS_60_CNT_SOCIAL_CIRCLEDEF_60_CNT_SOCIAL_CIRCLEDAYS_LAST_PHONE_CHANGEFLAG_DOCUMENT_2FLAG_DOCUMENT_3FLAG_DOCUMENT_4FLAG_DOCUMENT_5FLAG_DOCUMENT_6FLAG_DOCUMENT_7FLAG_DOCUMENT_8FLAG_DOCUMENT_9FLAG_DOCUMENT_10FLAG_DOCUMENT_11FLAG_DOCUMENT_12FLAG_DOCUMENT_13FLAG_DOCUMENT_14FLAG_DOCUMENT_15FLAG_DOCUMENT_16FLAG_DOCUMENT_17FLAG_DOCUMENT_18FLAG_DOCUMENT_19FLAG_DOCUMENT_20FLAG_DOCUMENT_21AMT_REQ_CREDIT_BUREAU_HOURAMT_REQ_CREDIT_BUREAU_DAYAMT_REQ_CREDIT_BUREAU_WEEKAMT_REQ_CREDIT_BUREAU_MONAMT_REQ_CREDIT_BUREAU_QRTAMT_REQ_CREDIT_BUREAU_YEAR
2528183925410Cash loansFNN076500.0450000.030442.5450000.0UnaccompaniedWorkingSecondary / secondary specialMarriedWith parents0.022625-10105-692-3861.0-2365NaN111100Core staff2.022SATURDAY19000000Self-employedNaN0.556096NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNoneNoneNaNNoneNone0.00.00.00.0-687.001000000000000000000NaNNaNNaNNaNNaNNaN
1858103154010Cash loansMNN090000.0180000.014350.5180000.0UnaccompaniedCommercial associateSecondary / secondary specialSingle / not marriedRented apartment0.018209-8184-790-706.0-861NaN110101Laborers1.033THURSDAY10000110Industry: type 10.1096630.684581NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNoneNoneNaNNoneNone0.00.00.00.0-522.001000000000000000000NaNNaNNaNNaNNaNNaN
1892903194590Revolving loansMYY0405000.0675000.033750.0675000.0UnaccompaniedCommercial associateSecondary / secondary specialMarriedHouse / apartment0.072508-20437-954-12796.0-111913.0110110Managers2.011TUESDAY11000000Business Entity Type 3NaN0.5980330.4083590.07940.00000.97620.67360.02410.080.03450.45830.50000.00000.06470.07220.00.00000.08090.00000.97620.68640.02430.08060.03450.45830.50000.00000.07070.07520.00.00000.08020.00000.97620.67800.02430.080.03450.45830.50000.00000.06580.07350.00.0000reg oper accountblock of flats0.0568BlockNo0.00.00.00.0-257.0000000000000000000000.00.00.00.00.02.0
392971455090Cash loansFYY1135000.0521280.031630.5450000.0UnaccompaniedCommercial associateSecondary / secondary specialMarriedHouse / apartment0.046220-9496-958-4361.0-218419.0110100Laborers3.011THURSDAY13000000Self-employed0.3515080.6939710.4066170.16490.00000.98760.83000.00000.160.13790.37500.41670.05240.13450.16400.00.00000.16810.00000.98760.83670.00000.16110.13790.37500.41670.05360.14690.17090.00.00000.16650.00000.98760.83230.00000.160.13790.37500.41670.05330.13680.16690.00.0000org spec accountblock of flats0.1290PanelNo2.00.02.00.0-1470.0010000000000000000000.00.00.00.01.07.0
920152068540Cash loansMNN0112500.0640080.024259.5450000.0UnaccompaniedWorkingSecondary / secondary specialSeparatedHouse / apartment0.018029-13164-1797-197.0-191NaN110100Laborers1.033FRIDAY8000000Business Entity Type 30.0743150.418981NaN0.13810.11910.98310.76880.03180.200.17240.33330.0417NaNNaN0.1706NaN0.00460.14080.12360.98310.77790.03210.20140.17240.33330.0417NaNNaN0.1778NaN0.00490.13950.11910.98310.77190.03200.200.17240.33330.0417NaNNaN0.1737NaN0.0047Noneblock of flats0.1526PanelNo1.01.01.01.0-1592.0010000000000000000000.00.01.00.00.02.0